期刊論文
[J01] C. W. Hung, C. Y. Tsai, C. C. Wang and C. H. Lee*, “TinyFL_HKD: Enhancing Edge AI Federated Learning with Hierarchical Knowledge Distillation Framework,” IEEE Sensors Journal, 2025/02. (SCI)
[J02] C. C. Huang and C. H. Lee*, “Foreign Object Detection System Development Using Edge Devices Integrated with Quadcopter Autonomous Tracking,” Journal of Marine Science and Technology-Taiwan, 2025/01. (SCI)
[J03] C. H. Lee, K. X. Lin and C. W. Chou, “Surrogate-Based Optimization Framework for Enhancing SMT Process Quality and Productivity in Electronics Manufacturing Services,” International Journal of Advanced Manufacturing Technology, 2025/01. (SCI)
[J04] B. R. Tseng, J. Y. Jiang and C. H. Lee*, "Adaptive Position/Force Controller Design Using Fuzzy Neural Network and Stiffness Estimation for Robot Manipulator," International Journal of Fuzzy Systems, DOI: 10.1007/s40815-024-01921-x, 2024/12. (SCI)
[J05] C. W. Hung, C. Y. Tsai and C. H. Lee*, “Enhancing Edge-Based Federated Learning with Privacy-Preserving Gradient Transmission for Tool Wear Detection,” IEEE Sensors Journal, 24 (12), 19780-19790, 2024. (SCI)
[J06] G. Y. Huang and C. H. Lee*, “Industrial Federated Learning Algorithm (P-PFedSGD) for Tool Wear Estimation,” Future Generation Computer Systems, 158, 150-157, 2024. (SCI)
[J07] Z. S. Syu and C. H. Lee*, “One-Dimensional Binary Convolutional Neural Network Accelerator Design for Bearing Fault Diagnosis,” IEEE Sensors Journal, 24 (3), 3649-3658, 2024. (SCI)
[J08] C. C. Kuo and C. H. Lee*, “An Enhanced Structural Damage Identification Approach Using Statistical Analysis and Optimization,” IEEE Sensors Journal, 23 (24), 31082-31097, 2023. (SCI)
[J09] H. C. Lee and C. H. Lee*, “Generalized Optimal EEG Channels Selection for Motor Imagery Brain-Computer Interface,” IEEE Sensors Journal, 23 (20), 25356-25366, 2023. (SCI)
[J10] C. C. Kuo and C. H. Lee*, “Optimization of Sensors for Structure Damage Detection Using Deep Learning Approach,” IEEE Sensors Journal, 23 (21), 26401-26410, 2023. (SCI)
[J11] S. F. Wu, C. H. Lee* and B. R. Tseng, “Intelligent Servo Tuning of High-speed Machine Tools Using Circular Test,” IEEE Sensors Journal, 23 (11), 12084-12092, 2023. (SCI)
[J12] K. C. Chao, Y. Shih and C. H. Lee*, “A Novel Sensor-Based Label-Smoothing Technique for Machine State Degradation,” IEEE Sensors Journal, 23 (10), 10879-10888, 2023. (SCI)
[J13] C. B. Chou and C. H. Lee*, “Generative Neural Network-based Online Domain Adaptation (GNN-ODA) Approach for Incomplete Target Domain Data,” IEEE Transactions on Instrumentation & Measurement, 72, 3508110, 2023. (SCI)
[J14] Y. Shih, C. C Kuo and C. H. Lee*, “Low-Cost Real-Time Automated Optical Inspection Using Deep Learning and Attention Map,” Intelligent Automation & Soft Computing, 35 (2), 2087-2099, 2023. (SCI)
[J15] C. W. Hung, Y. D. Zhuang, C. H. Lee*, C. C. Wang and H.H. Yang, “Transmission Power Control in Wireless Sensor Networks Using Fuzzy Adaptive Data Rate,” Sensors, 22 (24), 9963, 2022. (SCI)
[J16] C. W. Hung, C. H. Lee*, C. C. Kuo and S. X. Zeng, “SoC-based Early Failure Detection System Using Deep Learning for Tool Wear,” IEEE Access, 10, 70491-70501, 2022. (SCI)
[J17] K. C. Chao, C. B. Chou and C. H. Lee*, “Online Domain Adaptation for Rolling Bearings Fault Diagnosis with Imbalanced Cross-domain Data,” Sensors, 22 (12), 4540, 2022. (SCI)
[J18] C. W. Wu, H. Y. Chen, J. Y. Chen and C. H. Lee*, “Glaucoma Detection Using Support Vector Machine Method Based on Spectralis OCT,” Diagnostics, 12 (2), 391, 2022. (SCI)
[J19] Y. R. Lin, C. H. Lee* and M. C. Lu, “Robust Tool Wear Monitoring System Development by Sensors and Feature Fusion,” Asian Journal of Control, 24 (3), 1005-1021, 2022. (SCI)
[J20] C. W. Hung, J. R. Wu and C. H. Lee* , “Device Light Fingerprints Identification Using MCU-based Deep Learning Approach,” IEEE Access, 9, 168134-168140, 2021. (SCI)
[J21] W. W. Fan and C. H. Lee* , “Classification of Imbalanced Data using Deep Learning with Adding Noise ,” Journal of Sensors, 2021, 1735386, 2021. (SCI)
[J22] P. M. Huang and C. H. Lee*, “Estimation of Tool Wear and Surface Roughness Development Using Deep Learning and Sensors Fusion,” Sensors, 21 (16), 5338, 2021. (SCI)
[J23] H. Y. Chen and C. H. Lee*, “Deep Learning Approach for Vibration Signals Applications,” Sensors, 21 (11), 3929, 2021. (SCI)
[J24] S. F. Wu, C. Y. Lin, C. Y. Chang and C. H. Lee*, “Intelligent Diagnosis System Development for Feed Drive Ssyetm of Machine Tools,” Insight Machinery Magazine, 2021. (in Chinese)
[J25] C. W. Hung, S. X. Zeng, C. H. Lee*, W. T. Li, “End-to-End Deep Learning by MCU Implementation: An Intelligent Gripper for Shape Identification,” Sensors, 21 (3), 891, 2021. (SCI)
[J26] K. F. Lee and C. H. Lee*, “Virtual feed drive system of machine tools development and applications in diagnosis and servo‐tuning,” Asian Journal of Control, 22 (6), 2167-2182, 2020. (SCI)
[J27] H. Y. Chen and C. H. Lee*, “Vibration Signals Analysis by Explainable Artificial Intelligence (XAI) Approach: Application on Bearing Faults Diagnosis,” IEEE Access, 8, 134246-134256, 2020. (SCI)
[J28] C. C. Lo, C. H. Lee* and W. C. Huang, “Prognosis of Bearing and Gear Wears Using Convolutional Neural Network with Hybrid Loss Function,” Sensors, 20 (12), 3539, 2020. (SCI)
[J29] B. S. Chen and C. H. Lee*, “Adaptive Model-free Coupling Controller Design for Multi-Axis Motion Systems,” Applied Sciences, 10 (10), 3592, 2020. (SCI)
[J30] H. W. Chiu and C. H. Lee*, “Intelligent Machining System Based on CNC Controller Parameter Selection and Optimization,” IEEE Access, 8, 51062-51070, 2020. (SCI)
[J31] H. Y. Chen and C. H. Lee*, “Electricity consumption prediction for buildings using multiple adaptive network-based fuzzy inference system models and gray relational analysis,” Energy Reports, 5, 1509-1524, 2019. (SCI)
[J32] C. H. Chu and C. H. Lee*, “Regressor-free adaptive fuzzy force tracking control of redundant robot manipulator for task space,” Advances in Mechanical Engineering, 11 (9), 1687814019878899, 2019. (SCI)
[J33] G. R. Chen, C. Y. Chang, C. H. Lee*, “Parameters Optimization of Electrical Discharge Machining Using Reinforcement Learning,” Instruments Today, 2019 (in Chinese)
[J34] C. H. Lee*, K. F. Lee, C. Y. Chang, and W. F. Kuo, “Intelligent Integrated System of Smart Machine Tools,” Insight Machinery Magazine, 2019. (in Chinese)
[J35] H. W. Chiu and C. H. Lee*, “Prediction of Machining Accuracy and Surface Quality for CNC Machine Tools Using Data Driven Approach,” Advances in Engineering Software, 114, 246-257, 2017. (SCI)
[J36] Z. Y. Jang and C. H. Lee*, “Adaptive Impedance Force Controller Design for Robot Manipulator including Actuator Dynamics,” International Journal of Fuzzy Systems, 19 (6), 1739-1749, 2017 (SCI).
[J37] Y. C. Wang*, C. J. Chien and C. H. Lee, “Adaptive Iterative Learning Control for Freeway Traffic Flow Systems Using Improved Bacterial Foraging Optimized Desired Traffic Densities Planning,” International Journal of Fuzzy Systems, 19 (5), 1492-1511, 2017 (SCI).
[J38] C. Y. Lin and C. H. Lee*, “Remote Servo Tuning System for Multi-Axis CNC Machine Tools Using a Virtual Machine Tool Approach,” Applied Sciences, 7 (8), 776, 2017. (SCI)
[J39] C. H. Lee*, Y. H. Lee and C. M. Lin, “Nonlinear Systems Identification and Control Using Uncertain Rule-based Fuzzy Neural Systems with Stable Learning Mechanism,” International Journal of Fuzzy Systems, 19 (2), 470-488, 2017. (SCI)
[J40] T. H. Ma, C. M. Lin*, F. Chao, C. F. Hsu, J. G. Juang and C. H. Lee, “Gain-Margins and Phase-Margins of Multivariable Time-Delay Systems,” Journal of Marine Science and Technology, 24 (4), 736-743, 2016. (SCI)
[J41] C. H. Lee* and W. C. Wang, “Robust Adaptive Position and Force Controller Design of Robot Manipulator Using Fuzzy Neural Networks,” Nonlinear Dynamics, 85 (1), 343-354, 2016. (SCI)
[J42] M. T. Huang, C. H. Lee* and C. M. Lin, “Blind Source Separation with Adaptive Learning Rates for Image Encryption,” Journal of Intelligent & Fuzzy Systems, 30 (1), 451-460, 2016. (SCI)
[J43] J. H. Liang and C. H. Lee*, “A Modification Artificial Bee Colony Algorithm for Optimization Problems,” Mathematical Problems in Engineerings, 2015, 581391, 2015. (SCI)
[J44] J. H. Liang and C. H. Lee*, “Efficient Collision-free Path-planning of Multiple Mobile Robots System Using Efficient Artificial Bee Colony Algorithm,” Advances in Engineering Software, 79, 47-56, 2015. (SCI)
[J45] C. T. Kuo and C. H. Lee*, “Network-based Type-2 Fuzzy System with Water Flow Like Algorithm for System Identification and Signal Processing,” Smart Science, 2015. (ESCI)
[J46] H. Y. Li, C. M. Lin, C. H. Lee* and J. G. Juang, “Adaptive Function-Link Fuzzy CMAC Control System Design for MIMO Nonlinear Chaotic Systems,” International Journal of Fuzzy Systems, 16 (4), 577-590, 2014. (SCI)
[J47] M. T. Huang, C. H. Lee* and C. M. Lin, “Type-2 Fuzzy Cerebellar Model Articulation Controller-based Learning Rate Adjustment for Blind Source Separation,” International Journal of Fuzzy Systems, 16 (3), 411-421, 2014. (SCI)
[J48] C. T. Li, C. H. Lee*, F. Y. Chang and C. M. Lin, “An Interval Type-2 Fuzzy System with A Species-based Hybrid Algorithm for Nonlinear System Control Design,” Mathematical Problems in Engineering, 2014, 735310, 2014. (SCI)
[J49] C. M. Lin*, Y. J. Mon, C. H. Lee, J. G. Juang and I. J. Rudas, “ANFIS-Based Indoor Location Awareness System for the Position Monitoring of Patients,” Acta Polytechnica Hungarica, 11 (1), 37-48, 2014. (SCI)
[J50] C. H. Lee*, F. Y. Chang and C. M. Lin, “DSP-based Optical Character Recognition System Using Interval Type-2 Neural Fuzzy System,” International Journal of Fuzzy Systems, 16 (1), 86-96, 2014 . (SCI)
[J51] C. H. Lee*, F. Y. Chang and C. M. Lin, “An Efficient Interval Type-2 Fuzzy CMAC for Chaos Time-series Prediction and Synchronization,” IEEE Transactions on Cybernetics, 44 (3), 329-341, 2014. (SCI)
[J52] C. H. Lee* and H. H. Chang, “Output Recurrent Wavelet Neural Network-based Adaptive Backstepping Controller for a Class of MIMO Nonlinear Non-affine Uncertain Systems,” Neural Computing & Applications, 24 (5), 1035-1045, 2014. (SCI)
[J53] C. H. Lee* and H. Y. Hsieh, “Observer-based Adaptive Control for a Class of Nonlinear Non-affine Systems Using Dynamic Fuzzy Systems,” International Journal of Fuzzy Systems, 15 (1), 55-65, 2013. (SCI)
[J54] C. H. Lee* and W. Y. Lai, “Nonlinear Control of Benchmark Problems Using TSK-Type Fuzzy Neural System,” Neural Computing & Applications, 23 (1), 83-94, 2013. (SCI)
[J55] C. H. Lee* and F. Y. Chang, “On-line Adaptive Interval Type-2 Fuzzy Controller Design via Stable SPSA Learning Mechanism,”International Journal of Fuzzy Systems, 14 (4), 489-500, 2012. (SCI)
[J56] C. H. Lee*, H. Y. Liu and J. K. Lee, “Intelligent OCR System Development by using Functional-link Neural Network,” Journal of Engineer, National Chung Hsing Univetsity, 2012. (In Chinese)
[J57] C. H. Lee*, C. T. Kuo and H. H. Chang, “Performance Enhancement of Differential Evolution Algorithm Using Local Search and Self-adaptive Scaling Factor,” International Journal of Innovative Computing Information and Control, 8 (4), 2665-2679, 2012. (ESCI)
[J58] C. H. Lee* and Y. C. Lee, “Nonlinear Systems Design by a Novel Fuzzy Neural System via Hybridization of EM and PSO Algorithms,” Information Sciences, 186 (1), 59-81, 2012. (SCI)
[J59] C. H. Lee*, F. K. Chang, C. T. Kuo and H. H. Chang, “A Hybrid of Electromagnetism-like Mechanism and Back-propagation Algorithms for Recurrent Neural Fuzzy Systems Design,” International Journal of Systems Science, 43 (2), 231-247, 2012. (SCI)
[J60] C. H. Lee* and S. K. Chang, “Experimental Implementation of Nonlinear TORA System and Robust Adaptive Backstepping Controller Design,” Neural Computing & Applications, 21 (4), 785-800, 2012. (SCI)
[J61] C. H. Lee* and B. R. Chung, “Adaptive Backstepping Controller Design for Nonlinear Uncertain Systems Using Fuzzy Neural Systems,” International Journal of Systems Science, 43 (10), 1855-1869, 2012. (SCI)
[J62] C. H. Lee* and L. J. Kau, “Enhancing the Predictive Coding Efficiency with Control Technologies for Lossless Compression of Images,” IET Image Processing, 6 (3), 251-263, 2012. (SCI)
[J63] C. H. Lee* and Y. C. Lee, “Nonlinear Fuzzy Neural Controller Design via EM-based Hybrid Algorithm,” special issue “System Control Using Bio-Inspired Learning Algorithms” International Journal of Computational Intelligence in Control (IJCIC). (invited by Guest Editor).
[J64] C. H. Lee* and Y. H. Lee, “Nonlinear System Identification Using Takagi-Sugeno-Kang Type Interval-valued Fuzzy Systems via Stable Learning Mechanism,” IAENG International Journal of Computer Science, 38, Issue 3, 249-259, 2011.
[J65] C. H. Lee* and Y. C. Lin, “Robust Adaptive Control for Nonlinear Uncertain Systems Using Type-2 Fuzzy Neural Network System,” Mathematical Problems in Engineering, 2011, 604391, 2011. (SCI)
[J66] C. H. Lee* and F. Y. Chang, “Interval Type-2 Recurrent Fuzzy Neural System for Nonlinear Systems Control Using Stable Simultaneous Perturbation Stochastic Approximation Algorithm,” Mathematical Problems in Engineering, 2011, 102436, 2011. (SCI)
[J67] C. H. Lee* and C. T. Li, “A Species-based Improved Electromagnetism-like Mechanism Algorithm for TSK-type Interval-valued Neural Fuzzy System Optimization,” Fuzzy Sets and Systems, 171 (1), 22-43, 2011. (SCI)
[J68] C. H. Lee*, F. K. Chang and Y. C Lee, “An Improved Electromagnetism-like Algorithm for Recurrent Neural Fuzzy Controller Design,” International Journal of Fuzzy Systems, 12 (4), 280-290, 2010. (SCI)
[J69] C. H. Lee* and F. K. Chang, “Fractional-order PID Controller Optimization via Improved Electromagnetism-like Algorithm,” Expert Systems with Applications, 37 (12), 8871-8878, 2010. (SCI)
[J70] C. H. Lee*, Y. C. Lee and F. Y. Chang, “A Dynamic Fuzzy Neural System Design via Hybridization of EM and PSO Algorithms,” IAENG International Journal of Computer Science, 37 (3), IJCS-37-3-06, 2010.
[J71] C. H. Lee*, B. R. Chung, J. C. Chien, “Robust Adaptive Backstepping Controller for a Class of Nonlinear Cascade Systems via Fuzzy Neural Networks,” International Journal of Computational Intelligence in Control, 2 (1), 2010 (invited by Editor in Chief).
[J72] C. H. Lee* and H. T. Cheng, “Identification and Fuzzy Controller Design for Nonlinear Uncertain Systems with Input Time-Delay,” International Journal of Fuzzy Systems, 11 (2), 73-86, 2009. (SCI)
[J73] C. H. Lee*, Z. W. Hu, and H.H. Chang, “Nonlinear Channel Equalization Using A Novel Recurrent Interval Type-2 Fuzzy Neural System,” Engineering Letters, 17 (2), 73-82, 2009. (ESCI)
[J74] C. H. Lee* and M. H. Chiu, “Recurrent Neuro-fuzzy Control Design for Tracking of Mobile Robots via Hybrid Algorithm,” Expert Systems with Applications, 36 (5), 8993-8999, 2009. (SCI)
[J75] C. H. Lee* and H. Y. Pang, “Performance Enhancement for Neural Fuzzy Systems Using Asymmetric Membership Functions,” Fuzzy Sets and Systems, 160 (7), 949-971, 2009. (SCI)
[J76] C. H. Lee* and B. H. Wang, “Adaptive Supervisory WCMAC Neural Network Controller (SWC) for Nonlinear Systems,” Soft Computing, 13 (1), 1-12, 2009. (SCI)
[J77] C. H. Lee* and F. K. Chang, “Recurrent Fuzzy Neural Controller Design for Nonlinear Systems Using Electromagnetism-like Algorithm,” Far East Journal of Experimental and Theoretical Artificial Intelligence, 1 (1), 5-22, 2008.
[J78] C. H. Lee* and Y. C. Lin, “Type-2 Fuzzy Neuro System via Input-to-state-stability Approach,” Lecture Notes in Computer Science, 4492, 317-327, 2007. (SCI)
[J79] C. H. Lee* and M. H. Chiu, “Adaptive Nonlinear Control Using TSK-type Recurrent Fuzzy Neural Network System,” Lecture Notes in Computer Science, 4491, 38-44, 2007. (SCI)
[J80] C. H. Lee* and Y. C. Lin, “System Identification and Adaptive Filter Using a Novel Fuzzy Neuro System,” International Journal of Computational Cognition, 5 (1), 1-12, 2007.
[J81] C. H. Lee* and B. R. Chung, “FNN-based Disturbance Observer Controller Design for Nonlinear Uncertain Systems,” WSEAS Transactions on Systems and Control, 2 (3), 255-260, (invited paper) 2007.
[J82] C. H. Lee* and B. H. Wang, “Adaptive Wavelet-based-CMAC Network Predictor Design for Lossless Image Coding,” Engineering Letters, 15 (1), 119-125, 2007. (ESCI)
[J83] C. H. Lee*, “Fuzzy Fourier System for Function Mapping,” The Journal of Fuzzy Mathematics, 12 (3), 1059-1070, 2005.
[J84] C. H. Lee* and C. J. Yu, “An Intelligent Handoff Algorithm for Wireless Communication Systems Using Grey Prediction and Fuzzy Decision System,” International Journal of Electrical Engineering, No.1, 2005.
[J85] C. H. Lee* and Y. C. Lin, “An Adaptive Type-2 Fuzzy Neural Controller for Nonlinear Uncertain Systems,” International Journal of Control and Intelligent Systems, 33 (1), 13 - 25, 2005.
[J86] C. H. Lee* and Y. C. Lin, “An Adaptive Neuro-Fuzzy Filter Design via Periodic Fuzzy Neural Network,” Signal Processing, 85 (2), 401-411, 2005. (SCI)
[J87] C. H. Lee*, “Stabilization of nonlinear nonminimum phase systems: Adaptive parallel approach using recurrent fuzzy neural network,” IEEE Transactions on Systems Man and Cybernetics Part B, 34 (2), 1075-1088, 2004. (SCI)
[J88] C. H. Lee*, “A Survey of PID Controller Design Based on Gain and Phase Margins,” International Journal of Computational Cognition, 2 (3), 63-100, 2004.
[J89] C. H. Lee*, “Low Order Robust Controller Design for Preserving Performance: Genetic Algorithm Approach,” ISA Transactions, 43 (4), 539-547, 2004. (SCI)
[J90] C. H. Lee* and C. C. Teng, “Calculation of PID Controller parameters by using Fuzzy Neural Network,” ISA Transactions, 42 (3), 391-400, 2003. (SCI)
[J91] T. C. Lee, C. H. Lee* and C. C. Teng, “Adaptive Tracking Control of Nonholonomic Mobile Robots by Computed Torque,” IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, E86A (7), 1766-1777, 2003. (SCI)
[J92] C. H. Lee*, J. L. Hong, Y. C. Lin and W. Y. Lai, “Type-2 Fuzzy Neural Network Systems and Learning,” International Journal of Computational Cognition, 1 (4), 79-90, 2003.
[J93] C. H. Lee and C. C. Teng*, “Tuning PID Controller of Unstable Processes: A Fuzzy Neural Network Approach,” Fuzzy Sets and Systems, 128 (1), 95-106, 2002. (SCI)
[J94] C. H. Lee*, Y. H. Lee and C. C. Teng, “A Novel Robust PID Controllers Design by Fuzzy Neural Network,” Asian Journal of Control, 4 (4), 433-438, 2002. (SCI)
[J95] C. H. Lee* and C. C. Teng, “Control of a Nonlinear Dynamic System via Adaptive Saturation PID Control Scheme,” International Journal of Fuzzy Systems, 4 (4), 922-927, 2002. (SCI)
[J96] C. H. Lee*, T. C. Lee and C. C. Teng, “Tracking Control of Mobile Robots without Constraint on Velocities,” IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, E84A (9), 2280-2287, 2001. (SCI)
[J97] C. H. Lee* and C. C. Teng, “Fine Tuning of Membership Functions for Fuzzy Neural Systems,” Asian Journal of Control, 3 (3), 216-225, 2001. (SCI)
[J98] T. C. Lee, K. T. Song*, C. H. Lee and C. C. Teng, “Tracking control of unicycle-modeled mobile robots using a saturation feedback controller,” IEEE Transactions on Control Systems Technology (Full Paper), 9 (2), 305-318, 2001. (SCI) Highly cited
[J99] C. H. Lee* and C. C. Teng, “Tuning of PID Controller for Stable and Unstable Processes with Specifications on Gain and Phase Margins,” International Journal of Fuzzy Systems, 3 (1), 346-355, 2001. (SCI)
[J100] C. H. Lee and C. C. Teng*, “Identification and Control of Dynamic Systems Using Recurrent Fuzzy Neural Networks,” IEEE Transactions on Fuzzy Systems (Full Paper), 8 (4), 349-366, 2000. (SCI) Highly cited
[J101] C. H. Lee and C. C. Teng*, “Approximation of Periodic Function Using a Modified Fuzzy Neural Network,” International Journal of Fuzzy Systems, 2 (3), 176-182, 2000. (SCI)
[J102] C. H. Lee* and C. C. Teng, “Identification and Control of Hammerstein Systems Using a Fuzzy Neural Network,” Journal of Signal Processing, 4 (2), 149-157, 2000.
研討會論文
[C01] S. X. Yang, B. R. Tseng and C. H. Lee, “Enhancing Dynamic Path Accuracy in Six-Axis Robotic Manipulators: A Novel Diagnostic and Tuning Methodology,” International Automatic Control Conference (CACS 2024), 2024
[C02] W. L. Hong and C. H. Lee, “A Novel Estimation of Anesthesia Depth Using Power Ratio,” International Conference on Fuzzy Theory and Its Applications (iFUZZY 2024), 2024
[C03] H. Y. Chua and C. H. Lee, “Development of the Identification Power Model Parameters Platform for Quadcopter Drone,” The 1st International Conference on AI Sensors and The 10th International Symposium on Sensor Science (AIS-I3S 2024), 2024 (Poster Session)
[C04] S. Chi, K. Honda and C. H. Lee, “Healthcare Service with Temi Robot and Android Application for Guidance Assistance System,” International Conference on System Science and Engineering (ICSSE 2024), 2024
[C05] C. L. Cheng and C. H. Lee, “Point Cloud Semantic Segmentation Map for Indoor Robots,” International Conference on System Science and Engineering (ICSSE 2024), 2024
[C06] B. R. Tseng, J. Y. Jiang and C. H. Lee, “Adaptive Hybrid Position/Force Control of Robot Manipulator using Fuzzy Neural Network and Interaction Stiffness Estimator,” International Conference on System Science and Engineering (ICSSE 2024), 2024
[C07] J. Y. Chen and C. H. Lee, “Indoor Patrol System with Face Recognition for Low-light Condition,” International Conference on System Science and Engineering (ICSSE 2024), 2024
[C08] C. C. Huang and C. H. Lee, “Development of a Low-Light Anomaly Detection System Using Edge Devices Integrated with UAV Autonomous Tracking,” International Conference on System Science and Engineering (ICSSE 2024), 2024
[C09] C. W. Chen and C. H. Lee, “A Closed-Loop Upper Limb Rehabilitation System Based on SSVEP Brain-Computer Interface,” International Conference on System Science and Engineering (ICSSE 2024), 2024
[C10] C. T. Huang, M. L. Huang, H. H. Chiang and C. H. Lee, “Toward Personalized Car-Following Behaviors From Driver Data Using Learned and Hybrid Control Strategies,” International Conference on System Science and Engineering (ICSSE 2024), 2024
[C11] Eric J. Tzeng, H. Y. Chua, C. H. Lin and C. H. Lee, “無人機之風阻量測實驗平台設計與系統鑑別,” Conference on Theoretical and Applied Mechanics (CTAM 2023), 2023. (in Chinese)
[C12] S. R. Chen, C. H. Lee and M. C. Lu, “智慧加工系統於超音波加工之開發,” Conference on Theoretical and Applied Mechanics (CTAM 2023), 2023. (in Chinese)
[C13] C. H. Lin, H. Y. Chua, Eric J. Tzeng and C. H. Lee, “Velocity and Path Optimization Algorithm Design for Drone Spraying Mission,” International Automatic Control Conference (CACS 2023), 2023.
[C14] W. L. Hong, C. K. Ting, P. Y. Huang, H. Z. Hee and C. H. Lee, “A General EEG-based Anesthesia Depth Monitoring Using Power Band Ratios,” International Automatic Control Conference (CACS 2023), 2023.
[C15] C. C. Kuo and C. H. Lee, “Efficient Structural Damage Detection Using Joint Vibration Signals and 1D-CNN Mode,” International Automatic Control Conference (CACS 2023), 2023.
[C16] Z. S. Syu and C. H. Lee, “Binary One-Dimensional Convolutional Neural Network Accelerator for Vibrational Signals Analysis,” International Conference on System Science and Engineering (ICSSE 2023), 2023.
[C17] K. C. Chao, Y. Shih, C. H. Lee, “A Novel Label Smoothing Technique for Machine Degradation,” International Federation of Automatic Control (IFAC 2023), 2023. Yokohama, Japan.
[C18] Eric J. Tzeng, C. H. Lee, C. C. Song, “Energy Consumption Optimization on Loading Variation Drone System by Air Speed Control Strategy,” International Federation of Automatic Control (IFAC 2023), 2023. Yokohama, Japan.
[C19] K. T. Yu and C. H. Lee, “Collision Detection Technique Development of Robot Manipulator Using Deep Learning,” NSSSE 2023, 2023.
[C20] J. T. Tang and C. H. Lee, “Abnormal Detection of Motor Imagery EEG Signals for BCI Applications Using Autoencoder,” NSSSE 2023, 2023.
[C21] C. C. Lai and C. H. Lee, “Machining Error Estimation of Alloy Steel Turning Using One-Dimensional CNN with SE Block Structure,” NSSSE 2023, 2023.
[C22] K. X. Lin and C. H. Lee, “Optimization of Reflow Soldering Parameters,” NSSSE 2023, 2023.
[C23] Y. X. Huang and C. H. Lee, “基於動態影像辨識應用於手部動作檢測,” NSSSE 2023, 2023. (in Chinese)
[C24] Y. H. Lin, C. H. Lee and Y. T. Shih, “Improved Unsupervised Learning by Using Sample Distribution Transfer on Rotating Machinery Diagnostics ,” CSME 2022, 2022. (in Chinese)
[C25] H. C. Lee, C. H. Lee, L. W. Lee, J. R. Zhuang, C. C. Kuo and K. C. Chao, “Minimization of Features Selection for SSVEP-BCI Signals Classification by Using Machine Learning Techniques,” Int. Automatic Control Conf. 2022.
[C26] R. M. Zhang and C. H. Lee, “Multiple-Cut Process Optimization of Wire Electrical Discharge Machining,” NSSSE 2022, 2022. (in Chinese)
[C27] C. H. Liu and C. H. Lee, “Sleep Posture Recognition based on Mediapipe,” NSSSE 2022, 2022. (in Chinese)
[C28] B. R. Tseng and C. H. Lee, “Sensor-less Force Estimation of 6-DoF Robot Manipulator,” Int. Automatic Control Conf. 2021.
[C29] S. F. Wu and C. H. Lee, “Intelligent Servo Tuning Method for High-speed Machine Tools based on Circular Tests,” Int. Automatic Control Conf. 2021.
[C30] C. B. Chou and C. H. Lee, “Online Domain Adaptation for Rolling Bearings Fault Diagnosis with Imbalanced Cross-Domain Data,” Int. Automatic Control Conf. 2021.
[C31] G. R. Chen and C. H. Lee, “Break-through Detection of Hole Drilling Electrical Discharge Machine using Deep Learning,” 29th Fuzzy Theory and Its Applications, Oct. 2021. (in Chinese)
[C32] G. Y. Huang and C. H. Lee, “Federated Learning Architecture for Bearing Fault Diagnosis,” Int. Conf. on Systems Sciences and Engineering 2021, August, 2021.
[C33] P. M. Huang and C. H. Lee, “Sensors Influential Analysis and Fusion Technology Development and Application on Tool Wear Alarm,”NSSSE 2021, August, 2021.
[C34] W. F. Ko, B. M. Huang, and C. H. Lee, “Development of Virtual Milling System Using Data Fusion and Transfer Learning,” 2020 International Conference on Pervasive Artificial Intelligence, 2020.
[C35] C. H. Lee and H. H. Chang, “Dynamic Fuzzy Neural System with Hybrid Differential Evolution Algorithm for Image Noise Removal,” Int. Automatic Control Conf. 2020.
[C36] C. H. Lee, Y. R. Lin, and M. C. Lu, “Tool Wear Monitoring in Milling Using Neural Network and CMSFS Based on Multi-Sensors,” Int. Automatic Control Conf. 2020.
[C37] H. Y. Chen, C. H. Lee, S. Yu “Vibration Signals Analysis by Deep Learning Approach,” Int. Automatic Control Conf. 2020.
[C38] H. Y. Chen and C. H. Lee, “Vibration Signals Analysis Using Explanation of Convolutional Neural Networks: An Investigation of Tool Wear Classification,” Int. Conf. on Fuzzy Theory and Its Applications, iFUZZY 2020.
[C39] H. Y. Chen and C. H. Lee, “Vibration Signals Analysis for Bearing Fault Diagnosis Using Convolutional Neural Network and XAI Approach,” Int. Conf. on System Science and Engineering 2020.
[C40] G. J. Chen, C. H. Lee, and W. Y. Lai, “Virtual Machining System Development for Electrical Discharge Machining,” Int. Conf. on System Science and Engineering 2020.
[C41] S. Yu, C. J. Ho, C. H. Liu, and C. H. Lee, “Real-time Automatic Optical Ispection System,” Proceedings of 2020 National Symposium on System Science and Engineering, Taichung, 22~23 May, 2020. (in Chinese)
[C42] C. M. Liu and C. H. Lee, “Optimization of Automated Storage/Retrieval System－A Case Study of Central Warehouse Center of TPC,” Proceedings of 2020 National Symposium on System Science and Engineering, Taichung, 22~23 May, 2020.
[C43] W. F. Kuo and C. H. Lee, “Machining Parameters Selection for High Speed Processing,” 2019 International Conference on Engineering, Science, and Industrial Applications, 2019.
[C44] H. Y. Chen and C. H. Lee, “Electricity Consumption Forecasting of Building Using Hierarchical ANFIS and GRA,” International Conference on Machine Learning and Cybernetics, Kobe 2019.
[C45] C. C. Lo, B. S. Chen, and C. H. Lee, “Fault Detection and Remaining Useful Life Estimation of Bearing Using Deep Learning Approach,” International Conference on Advanced Robotics and Intelligent Systems, 2019.
[C46] K. F. Lee and C. H. Lee, “Modelling and Servo-tuning of Feed Drive System for Machine Tools,” Int. Automatic Control Conf. 2018.
[C47] B. S. Chen and C. H. Lee, “Adaptive Model-Free Coupling Controller Design for Multi-Axis System,” Int. Automatic Control Conf. 2018.
[C48] C. H. Lee and K. F. Lee, “Rapid Identification of Friction of Feed Drive Systems for Machine Tools,” Proceedings of the 26th National Conference on Fuzzy Theory and Its Applications, 2018.
[C49] B. S. Chen and C. H. Lee, “A Recurrent Fuzzy Neural Network-Based Adaptive Coupling Control for Multi-Axis Systems,” Proceedings of the 26th National Conference on Fuzzy Theory and Its Applications, 2018.
[C50] B. S. Chen and C. H. Lee, “Adaptive Coupling Controller Design for Multi-axis Systems of Machine Tools,” International Conference on Machine Learning and Cybernetics, Chendu 2018.
[C51] W. T. Wong, C. H. Lo, J. Hsieng, and C. H. Lee, “Realization of the automated system for optical lens kneading and inspection,” 2018 Conference on Applications of Innovation & Invention, 2018. (in Chinese)
[C52] C. C. Tsai, C. C. Lin, H. C. Kuo, and C. H. Lee, “Automated optical inspection system development using mechanical learning technology,” 2018 Conference on Applications of Innovation & Invention, 2018. (in Chinese)
[C53] J. Y. Chiang and C. H. Lee, “Adaptive Force Controller Design and Implementation for Robot Manipulator with Uncertainty and Friction,” iFUZZY 2017.
[C54] C. H. Chu and C. H. Lee, “Adaptive Force Tracking Control of Redundant Robot Manipulator for Task-space,” CACS 2017.
[C55] H. Y. Chen, B. H. Lu, P. M. Huang, and C. H. Lee, “Development of smart self-propelled ball type alarm clock system,” National Conference on Mechanical Engineering of CSME, 2017.12. (in Chinese)
[C56] Y. W. Liaw, J. C. Liaw, and H. Y. Chen, and C. H. Lee, “Development of Active and Passive Walking Aids,” National Conference on Mechanical Engineering of CSME, 2017.12. (in Chinese)
[C57] W. C. Wang and C. H. Lee, “Adaptive Force Control for n-link Robot Manipulator,” 2017 National Conference on Advanced Robotics (NCAR 2017).
[C58] C. Y. Lin and C. H. Lee, “Intelligent Technique for CNC Servo Tuning Based on Particle Swarm Optimization” National Symposium on System Science and Engineering 2017, Taipei, 2017. (in Chinese)
[C59] C. Y. Lin, C. H. Lee, and Y. J. Chen “Machine Doctor: A Feed Drive Diagnosis System for CNC Machine Tools,” 2017 The 3rd International Conference on Inventions (ICI2017)
[C60] C. H. Lee, J. C. Liu, and H. W. Chiu, “Machining Accuracy and Surface Roughness Prediction using Data Driven Approach,” Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, Ningbo, China, 9-12 July, 2017.
[C61] J. Y. Jang and C. H. Lee, “Fuzzy Neural Systems Based Adaptive Impedance Force Controller Design for Robot Manipulator,” 2016 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2016, Taichung, Nov. 9-11, 2016.
[C62] H. W. Chiu, B. F. Yu, C. H. Lee, and J. S. Chen, “CNC Controller Parameters Optimization Using Data-Driven Approach,” 2016 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2016, Taichung, Nov. 9-11, 2016.
[C63] Y. C. Tsai and C. H. Lee, “Robust Two-dimensional IIRFilter Design Using Genetic Algorithm,” 2015 Conference on Applications of Innovation & Invention, 2015.
[C64] C. W. Lee, C. Y. Lin, and C. H. Lee, “A Predicted-based Real-Time Collision Prevention System for Five-Axis Machine Tools,” 2015 International Conference on Inventions (ICI2015).
[C65] P. Y. Chung and C. H. Lee, “Modified Particle Swarm Optimization Algorithm for Cross-coupled Controller Design,” 2015 International Conference on Fuzzy Theory and Its Applications, iFUZZY2015.
[C66] Z. Y. Jhan and C. H. Lee, “A New Adaptive Fuzzy neural force controller for robots manipulator interacting with environments,” in 2015 Int. Conf. of Machine Learning and Cybernetics, ICMLC 2015.
[C67] W. C. Wang and C. H. Lee, “Fuzzy Neural Network-based Adaptive Impedance Force Control Design of Robot Manipulator under Unknown Environment,” 2014 IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE) 2014.
[C68] C. H. Lee, J. H. Liang, and C. M. Lin, “Path Tracking Control of Mobile Robot by Bee Colony Optimization Method,” 11th IEEE Int. Conf. on Control and Automation (IEEE ICCA 2014), 2014.
[C69] J. H. Liang and C. H. Lee, “Self-Navigation of Multi-robot System Using Artificial Bee Colony Algorithm,” 11th IEEE Int. Conf. on Control and Automation (IEEE ICCA 2014), 2014.
[C70] T. W. Hu and C. H. Lee, “Recurrent-Fuzzy-Neural System-based Adaptive Controller for Nonlinear Uncertain Systems,” Int. MultiConf. On Engineers and Computer Scienctists, March 12-14, 2014.
[C71] C. H. Lee, M. Z. Huang, C. M. Lin, “Fuzzy Neural-Based Learning Rate Adjustment for Gradient based Blind Source Separation,” 2013 Int. Conf. of Machine Learning and Cybernetics, ICMLC 2013.
[C72] C. H. Lee, Y. C. Tsai, C. M. Lin, “Application of Improved Genetic Algorithm on IIR Filter Optimization,” 2013 Int. Conf. of Machine Learning and Cybernetics, ICMLC 2013.
[C73] C. H. Lee and H. Y. Hsiu “Velocity Observer-based Fuzzy Adaptive Control of Multi-link Robotic Manipulators,” iFuzzy 2012, The Int. Conf. on Fuzzy Theory and Its Applications, 2012.
[C74] C. H. Lee, Y. H. Lee, and C. M. Lin, “Uncertain Rule-Based Fuzzy Neural Systems Development and Applications,” The 20th National Conference on Fuzzy Theory and Its Applications, 2012.
[C75] C. H. Lee and C. T. Kuo, “Dynamic Solution Agent Algorithm for TSK-type Interval-valued Fuzzy System Optimization,” The 7th IEEE Conference on Industrial Electronics and Applications (ICIEA 2012), Singapore, July 2012.
[C76] C. H. Lee, F. Y. Chang, and C. M. Lin, “Chaos Synchronization Using Un-normalized Interval Type-2 Fuzzy Neural Controller,” 2012 Int. Conf. on Machine Learning and Cybernetics, China, July, 2012.
[C77] C. H. Lee, C. M. Lin, and M. S. Yang, “Control of Nonlinear Systems Using Non-stationary Embedded Recurrent Fuzzy Neural Networks,” 2012 Int. Conf. on Machine Learning and Cybernetics, China, July, 2012.
[C78] C. H. Lee and H. Y. Hsueh, “Observer-based Fuzzy Adaptive Control Design for Multi-Input-Multi-Output Nonlinear Non-affine Systems,” The 11th Int. Conf. om Automation Technology, Douliu, Taiwan, 2011.
[C79] C. H. Lee and J. H. Liang, “On-line Path Planning Strategy Design of Multi-robots System Using Modified Artificial Bee Colony Algorithm,” The 11th Int. Conf. om Automation Technology, Douliu, Taiwan, 2011.
[C80] F. Y. Chang and C. H. Lee, “On-line Adaptive Interval Type-2 Fuzzy Controller Design via Stable SPSA Learning Mechanism,” The 19th National Conf. on Fuzzy Theory and Its Applications, Yun-line, 18-19, Nov., 2011.
[C81] C. H. Lee, H. Y. Liu, and C. K. Lee, “Design and Implementation of Optical Character Recognition System by Functional-link Neural Network,” The 19th National Conf. on Fuzzy Theory and Its Applications, Yu-line, 18-19, Nov., 2011.
[C82] F. Y. Chang and C. H. Lee, “Interval Type-2 Recurrent Fuzzy Neural System for Nonlinear Systems Control Using Stable Simultaneous Perturbation Stochastic Approximation Algorithm,” FUZZ IEEE 2011, Taipei, Taiwan, June 27~30, 2011.
[C83] F. Y. Chang and C. H. Lee, “An Efficient Optical Character Recognition System Using Interval Type-2 TSK Fuzzy Neural Network,” 2011 National Symposium on System Science and Engineering, National Chi Nan University, Nantou, Taiwan, June 17~18, 2011.
[C84] Y. H. Lee and C. H. Lee, “Stable Learning Mechanism for Novel Takagi-Sugeno-Kang Type Interval-valued Fuzzy Systems,” The 2011 IAENG Int. Conf. on Artificial Intelligence and Applications, Hong Kong, March 16-18, 2011.
[C85] C. H. Lee, C. M. Yu, and J. C. Chien, “Adaptive Neural Network Controller Design for a Class of Nonlinear Systems Using SPSA Algorithm,” The 2011 IAENG Int. Conf. on Control and Automation, Hong Kong, March 16-18, 2011.
[C86] C. H. Lee, P. Y. Chung, and H. H. Chang, “A Novel Hybrid Differential Evolution Algorithm: A Comparative Study on Function Optimization,” The 2011 IAENG Int. Conf. on Operations Research, Hong Kong, March 16-18, 2011.
[C87] C. H. Lee and C. T. Kuo, “Blind Source Separation by using TSK-Type Interval-Valued Neural Fuzzy System with The Modified Water Flow-Like Algorithm,” 2010 The 18th Conference on Fuzzy Theory and Its Applications, Taoyuan, Dec. 3-4, 2010.
[C88] H. W. Chiu and C. H. Lee, “Use wind turbine parameters to estimate power output: use fuzzy neural networks,” 2010 Taiwan Wind Energy Symposium, Taiwan, Penghu, Dec. 2010.
[C89] C. H. Lee, F. K Chang, H. W. Chiu, and F. Y. Chang, “Prediction-based Control Using Modified Electromagnetism-like Algorithm for Neural Fuzzy Systems,” The SICE Annual Conference 2010 (SICE 2010). Received the invitation for submission of SICE Journal of Control, Measurement, and System Integration.
[C90] F. Y. Chang and C. H. Lee, “Interval Type-2 Recurrent Fuzzy Neural System with Asymmetric Membership Functions for Chaotic System Identification,” The SICE Annual Conference 2010 (SICE 2010).
[C91] C. H. Lee, H. W. Chiu, and C. T. Li, “A Novel Neuro-Fuzzy Classification System Design by a Species-based Hybrid Algorithm,” Int. Conf. on Machine Learning and Cybernetics 2010.
[C92] C. H. Lee, F. Y. Chang, and C. T Li, “Species-based Hybrid of Electromagnetism-like Mechanism and Back-propagation Algorithms for An Interval Type-2 Fuzzy System Design,” The 2010 IAENG Int. Conf. on Artificial Intelligence and Applications, Hong Kong, 17-19 March, 2010.
[C93] C. H. Lee, J. H. Liang, and Y. C. Lee, “Nonlinear Systems Design by a Novel Fuzzy Neural System via Hybridization of EM and PSO Algorithms,” The 2010 IAENG Int. Conf. on Artificial Intelligence and Applications, Hong Kong, 17-19 March, 2010.
[C94] C. H. Lee, H. Y. Hsueh, “Simultaneous Perturbation Stochastic Approximation Learning Rule for Neural-based Decoupled Sliding Mode Controller Design of Discrete-time Nonlinear Multi-input-multi-output Systems,” The 2010 IAENG Int. Conf. on Artificial Intelligence and Applications, Hong Kong, 17-19 March, 2010.
[C95] C. H. Lee and S. K. Chang, “Intelligent Controller Design and Experimental Implementation of Nonlinear TORA System,” 2009 IEEE Int. Conf. on Control and Automation, Dec. 9-11, 2009.
[C96] C. H. Lee, C. T. Kuo, and H. H. Chang, “Recurrent Fuzzy System Optimization via Continuous Water Flow-like Algorithm,” 2009 The 17th Conference on Fuzzy Theory and Its Applications, Taoyuan, Dec. 18-19, 2009.
[C97] C. H. Lee and J. C. Chien, “Fuzzy-Neural-based Decoupled Controller Design of Nonlinear Multi-input-multi-output System,” 2009 The 17th Conference on Fuzzy Theory and Its Applications, Taoyuan, Dec. 18-19, 2009.
[C98] C. H. Lee and Y. C. Lee, “Hybridization of Electromagnetism-like and Particle Swarm Optimization Algorithms for Fractional Order PID Controller Design,” 2009 Int. Automatic Control Conference (IACC).
[C99] C. H. Lee, C. T. Kuo, and H. H. Chang, “Performance Enhancement of Differential Evolution Algorithm Using Local Search and Self-adaptive Scaling Factor,” 2009 Int. Automatic Control Conference (IACC).
[C100] C. H. Lee, L. J. Kau, Y. P. Lin, “A Fuzzy Neural Network Based Adaptive Predictor with P-Controller Compensation for Lossless Compression of Images,” IEEE Int. Symposium on Circuits and Systems (ISCAS), pp. 633-636, 2009.
[C101] C. H. Lee, C. T. Kuo, H. H. Chang, J. C. Chien, and F. K. Chang,, “A Hybrid Algorithm of Electromagnetism-like and Genetic for Recurrent Neural Fuzzy Controller Design,” 2009 IMECS, the Int. Multi-Conference of Engineers and Computer Scientists 2009, Hong Kong, March 2009.
[C102] C. H. Lee, H. H. Chang, C. T. Kuo, J. C. Chien, and Z. W. Hu, “A Novel Recurrent Interval Type-2 Fuzzy Neural Network for Nonlinear Channel Equalization,” 2009 IMECS, the Int. Multi-Conference of Engineers and Computer Scientists 2009, Hong Kong, March 2009. (Good paper collection for special issue of IMECS 2009)
[C103] C. H. Lee, C. J. Chien, H. H. Chang, C. T. Kuo, and H. S. Chang, “Direct Adaptive Backstepping Control for a Class of MIMO Non-affine Systems Using Recurrent Neural Networks,” 2009 IMECS, the Int. Multi-Conference of Engineers and Computer Scientists 2009, Hong Kong, March 2009.
[C104] C. H. Lee and Y. C. Lee, “An Improved Electromagnetism-like Algorithm for Neural Fuzzy Systems Design,” 2008 The 16th Conference on Fuzzy Theory and Its Applications, Taoyuan, Dec. 20, 2008.
[C105] C. T. Lee and C. H. Lee, “Application of the type-2 fuzzy neural network combined with support vector machine,” 2008 The 16th Conference on Fuzzy Theory and Its Applications, Taoyuan, Dec. 20, 2008.
[C106] C. H. Lee and M. H. Chiu, “Direct Adaptive Control Using Hybrid Neuro-fuzzy System for Stable Path Tracking of Mobile Robots,” 2008 The 16th National Conf. on Automation Technology, June 27-28, Kaushiung Taiwan, 2008.
[C107] C. H. Lee and H. Y. Pan, “Performance Enhancement for Neural Fuzzy Systems Using Asym-metric Membership Functions,” 2008 CACS The 2008 Int. Automatic Control Conference.
[C108] C. H. Lee and H. H. Chang, “Improved Adaptive Backstepping Control (IABC) for a Class of MIMO Non-affine Systems Using Wavelet Neural Networks,” 2008 CACS The 2008 Int. Automatic Control Conference (IACC).
[C109] C. H. Lee, T. W. Hu, C. T. Lee, and Y. C. Lee, “A Recurrent Interval Type-2 Fuzzy Neural Network with Asymmetric Membership Functions for Nonlinear System Identification,” 2008 Int. Conf. on Fuzzy Systems (FUZZ2008), Hong Kong, 2008.
[C110] C. H. Lee and F. K. Chang, “Design of Fractional PID Control via Hybrid of Electromagnetism-like and Genetic Algorithms,” The Int. Conf. on Intelligent Systems Design and Applications (ISDA), 2008.
[C111] C. H. Lee and H. H. Chang, “ORWNN-Based Adaptive Backstepping Controller for a Class of MIMO Nonlinear Non-affine Systems,” Int. Automatic Control Conference, Nov. 9-11, Taichung, Taiwan, 2007.
[C112] C. H. Lee, F. K. Chang, and C. W. Chen, “A Modified Electromagnetism-like Algorithm for Training Neural Fuzzy Systems in Control Applications,” Int. Automatic Control Conference, Nov. 9-11, Taichung, Taiwan, 2007.
[C113] C. H. Lee and B. R. Chung, “Fuzzy Neural Network Based Adaptive Backstepping Controller Design for a Class of Nonlinear Uncertain Systems,” 2007 The 15th Conference on Fuzzy Theory and Its Applications, Yuanlin, Dec. 14-15, 2007.
[C114] C. H. Lee, C. W. Chen, and F. K. Chang, “Training Fuzzy Neural Networks Using Electromagnetism-like Algorithm for Nonlinear System Control,” 2007 The 15th Conference on Fuzzy Theory and Its Applications, Yuanlin, Dec. 14-15, 2007.
[C115] C. H. Lee and B. R. Chung, “Adaptive Backstepping Control for a Class of Nonlinear Uncertain Systems Using Fuzzy Neural Networks,” ICMLC 2007, Int. Conf. on Machine Learning and Cybernetics, Hong Kong, 2007.
[C116] C. H. Lee and H. Y. Pan, “Construction of Asymmetric Type-2 Fuzzy Membership Functions and application in Time Series Prediction,” ICMLC 2007, Int. Conf. on Machine Learning and Cybernetics, Hong Kong, 2007.
[C117] C. H. Lee and M. H. Chu, “Adaptive Nonlinear Control Using TSK-type Recurrent Fuzzy Neural Network System,” Int. Symposium on Neural Networks, Nanjing, China, June 3-7, 2007.
[C118] C. H. Lee and Y. C. Lin, “Type-2 Fuzzy Neuro System via Input-to-state-stability Approach,” Int. Symposium on Neural Networks, Nanjing, China, June 3-7, 2007.
[C119] C. H. Lee and H. Y. Pan, “Type-2 Fuzzy Neural Systems with Asymmetric Membership Functions: Analysis and Application in Nonlinear System Identification,” 2006 The 14th National Conference on Fuzzy Theory and Its Applications, Kaushiung, Taiwan. Dec. 14-15, 2006.
[C120] C. H. Lee and H. S. Chang, “Decoupled Adaptive Control Scheme of Nonlinear TORA System Using Parametric-CMAC,” 2006 The 14th National Conf. on Fuzzy Theory and Its Applications, Kaushiung, Taiwan. Dec. 14-15, 2006.
[C121] C. H. Lee and B. R. Chung, “An Adaptive Disturbance Observer Based Control (ADOBC) for Nonlinear Uncertain Systems Using RBF Network,” 2006 The 14th National Conference on Fuzzy Theory and Its Applications, Kaushiung, Taiwan. Dec. 14-15, 2006.
[C122] B. R. Chung and C. H. Lee, “Nonlinear Disturbance Observer based Control via Fuzzy Neural Network,” 2006 R.O.C. Automatic Control Conference, Taipei, Nov. 2006.
[C123] C. H. Lee and B. H. Wang, “Adaptive Wavelet-based-CMAC Network Predictor Design for Lossless Image Coding,” 2006 R.O.C. Automatic Control Conference, Taipei, Nov. 2006.
[C124] J. I. Tsai, C. C. Teng, and C. H. Lee, “Reasoning of Logical Petri Nets,” 2006 R.O.C. Automatic Control Conference, Taipei, Nov. 2006.
[C125] C. H. Lee, H. Y. Pan, H. S. Chang, and B. H. Wang, “Decoupled Adaptive Type-2 Fuzzy Controller (DAT2FC) Design for Nonlinear TORA Systems,” IEEE World Congress on Computational Intelligence, Vancouver, Canada, July 16-21, 2006.
[C126] C. H. Lee, B. H. Wang, H. S. Chang, and H. Y. Pan, “A Novel Wavelet-based-CMAC Neural Network Controller for Nonlinear Systems,” IEEE World Congress on Computational Intelligence, Vancouver, Canada, July 16-21, 2006.
[C127] D. C. Liaw and C. H. Lee, “An Approach to Estimate Domain of Attraction for Nonlinear Control Systems,” The first Int. Conf. on Innovative Computing, Information and Control (ICICIC-06), Beijing, China, August, 2006.
[C128] J. I. Tsai, C. H. Lee, and C. C. Teng, “Test Generation and Site of Fault for Combinational Circuits Using Logic Petri Nets,” 2006 IEEE Int. Conf. on Systems, Man, and Cybernetics, Taipei, R. O. C. Oct. 2006.
[C129] C. H. Lee and H. T. Cheng, “Fuzzy PID Controller Design for Nonlinear Uncertain Systems with Dead-Time via Smith Predictor,” 2005 R.O.C. Automatic Control Conference, Tainan.
[C130] C. H. Lee and M. H. Chiu, “Hybrid Learning Algorithm (GA_BPPSO) for TSK-type Recurrent Fuzzy Neural Network (TRFNN) Systems in Nonlinear Identification and Control,” 2005 R.O.C. Automatic Control Conference, Tainan.
[C131] H. Y. Pan and C. H. Lee, “Decoupled Adaptive Fuzzy Controller Design for Nonlinear Benchmark Problem,” 2005 R.O.C. Automatic Control Conference, Tainan.
[C132] B. H. Wang and C. H. Lee, “Control of Nonlinear TORA System Using Two Mode Control Scheme,” 2005 R.O.C. Automatic Control Conference, Tainan.
[C133] D. C. Liaw and C. H. Lee, “Stabilization of Nonlinear Critical Systems by Center Manifold,” Int. Conf. on Systems and Signals, ICSS 2005, Taiwan, R. O. C. April, 2005.
[C134] C. H. Lee and Y. C. Lin, “Adaptive Control for Nonlinear Chaotic System Using Type-2 Fuzzy Neural Network System (Type-2 FNN),” 2004 The Twelfth National Conf. on Fuzzy Theory and Its Applications, I-Lan, Taiwan.
[C135] C. H. Lee and W. Y. Lai, “A TSK-Type Fuzzy Neural Network (TFNN) System for Identifying and Controlling Nonlinear Unknown Systems,” 2004 The Twelfth National Conference on Fuzzy Theory and Its Applications, I-Lan, Taiwan.
[C136] C. H. Lee and M. H. Chiu, “Recurrent Fuzzy Neural Network for Nonlinear Control via Hybrid Learning using Genetic Algorithm, Back Propagation, and Particle Swarn Optimization,” 2004 The Twelfth National Conference on Fuzzy Theory and Its Applications, I-Lan, Taiwan.
[C137] C. H. Lee and Y. C. Lin, “An Adaptive Filter Design via Periodic Fuzzy Neural Network,” 2004 R.O.C. Automatic Control Conference, March 2004.
[C138] C. H. Lee and W. Y. Lai, “Adaptive Self-Organizing Fuzzy Neural Network Predictor Design for Lossless Image Coding,” 2004 R.O.C. Automatic Control Conference, March 2004.
[C139] C. H. Lee and Y. C. Lin, “Hybrid Learning Algorithm for Fuzzy Neuro Systems,” Fuzz-IEEE 2004, 2004 IEEE Int. Conf. on Fuzzy Systems, Budapets.
[C140] C. H. Lee and Y. C. Lin, “Control of Nonlinear Uncertain Systems Using Type-2 Fuzzy Neural Network and Adaptive Filter,” 2004 IEEE Int. Conf. on Networking, Sensing and Control, pp. 1177-1182, 2004.
[C141] C. H. Lee, W. Y. Lai, and C. C. Chen, “Lossless Image Coding via Adaptive Takagi-Sugeno Fuzzy Neural Network Predictor,” 2004 IEEE Int. Conf. on Networking, Sensing and Control, pp. 565-570, 2004.
[C142] C. H. Lee and C. J. Yu, “An Intelligent Handoff Algorithm for Wireless Communication Systems Using Grey Prediction and Fuzzy Decision System,” 2004 IEEE Int. Conf. on Networking, Sensing and Control, pp. 541-546, 2004.
[C143] C. H. Lee, “Control of Nonlinear TORA System: On-line Adaptive Approach Using Recurrent Fuzzy Neural Network (RFNN),” The Joint Conf. on AI, Fuzzy System, and Grey System, Dec. 4-6, 2003.
[C144] C. H. Lee and C. J. Yu, “Integrator Backstepping-Grey Prediction Control (IBSGPC) and Its Application on the TORA System,” The Joint Conf. on AI, Fuzzy System, and Grey System, Dec. 4-6, 2003.
[C145] C. H. Lee, J. L. Hong, and C. C. Teng, “Low Order Robust Controller Design for Preserving H∞ Performance: Genetic Algorithm Approach,” 2003 R.O.C. Automatic Control Conference, March 2003.
[C146] C. H. Lee, “Type-2 Fuzzy Neural Network System and Learning,” 2003 R.O.C. Automatic Control Conf., March 2003.
[C147] C. H. Lee, W. Y. Lai, and Y. C. Lin, “A TSK-Type Fuzzy Neural Network (TFNN) Systems for Dynamic Systems Identification,” 2003 IEEE Control and Decision Conference (2003CDC), pp. 4002-4007, Hawaii, Maui, 9-12 Dec. 2003.
[C148] C. H. Lee, Y. C. Lin, and W. Y. Lai, “Systems Identifiaction Using Type-2 Fuzzy Neural Network (Type-2 FNN) Systems,” The 5th IEEE Int. Symp. on Computational Intelligence in Robotics and Automation (CIRA2003).
[C149] C. H. Lee, C. C. Teng, M. A. Kuo, and M. H. Chiu, “Genetic-based Fuzzy-Neural-Network System and Its Application in Fuzzy Rules Reduction,” 2002 R.O.C. Automatic Control Conf., Tainan, March 13-14, 2002.
[C150] C. C. Teng, C. H. Lee, “Low-order Controller Design based on H∞ Performance,” 2002 R.O.C. Automatic Control Conf., Tainan, March 13-14, 2002.
[C151] Y. C. Wang, C. C. Teng, and C. H. Lee, “Generalized recurrent Fuzzy Neural Networks (GRFNN) and Its Applications on Nonlinear Control Problems,” The 10th Fuzzy Theory and Its Applications Conf., August 2002.
[C152] C. H. Lee, M. A. Kuo, and M. H. Chiu, “Optimal Path Planning Using a Modified Genetic Algorithm,” The 10th Fuzzy Theory and Its Applications Conf., August 2002.
[C153] C. H. Lee and P. C. Kuo, “A Hybrid Learning Algorithm for Fuzzy Neural Network Using GA and BP,” The 10th Fuzzy Theory and Its Applications Conf. August 2002.
[C154] C. H. Lee and C. C. Teng, “A Novel Robust PID Controllers Design by Fuzzy Neural Network,” 2002 ACC, American Control Conference, May 8-10, pp. 1561-1566, Alaska, USA, 2002.
[C155] C. H. Lee, “Fuzzy Fourier System for Function Mapping,” IEEE Technique Conf. on Computers, Communications, Control and Power Engineering (TENCON’02), Beijing, China, October 28-31, 2002.
[C156] C. H. Lee and C. C. Teng, “A Fuzzy Neural Network Based Formula for Tuning the PID Controllers,” 2001 R.O.C. Automatic Control Conf., pp. 278-283, Taiwan, Taoyuan, 2001。
[C157] C. H. Lee and C. C. Teng, “Adaptive PD Controller Design for Nonlinear Dynamic Systems,” 2001 Ninth National Conf. on Fuzzy Theory and Its Applications, Nov. 23-24, Taoyuan, 2001.
[C158] C. H. Lee and C. C. Teng, “Fuzzy Rules Reduction by Adaptive Membership Functions,” 2000 R.O.C. Automatic Control Conf., Hsinchu, pp. 540-545, 2000。
[C159] C. H. Lee and C. C. Teng, “Identification of Periodic Function by Fuzzy Neural Network system,” The 8th Fuzzy Theory and Its Applications Conference, Taipei, 2000.
[C160] C. H. Lee and C. C. Teng, “Approximation of Periodic Function Using Fuzzy Neural Network,” ISPAC’2000, 2000 IEEE Int. Symp. on Intelligent Signal Processing and Communication Systems, Vol. 2, pp. 1073-1077, 2000, Hawaii.
[C161] T. C. Lee and C. H. Lee, “New Stability Results for Nonlinear Time-varying Systems Based on a Modified Detectability Condition,” 2000 IEEE Conf. on Decision and Control, CDC2000, Sydney, Australia.
[C162] C. H. Lee and C. C. Teng, “Identification of Nonlinear Dynamic Systems Using Hammerstein-type Model,” 1999 R.O.C. Automatic Control Conf., Taichung, pp.531-536, 1999.
[C163] C. H. Lee and C. C. Teng, “Tuning Membership Functions of the Fuzzy Neural Control System,” Conference on Automation Technology， 1999年7月.
[C164] C. H. Lee and C. C. Teng, “Tuning of PID controller for Stable and Unstable Processes with Gain and Phase Margins Specifications,” 99’ Professor Yanping Shi's Memorial Symposium，Nov. 13, 1999, Taipei。
[C165] T. C. Lee, K. T. Song, C. H. Lee, and C. C. Teng, “Tracking Control of Mobile Robots Using Saturation Feedback Controller,” 1999 IEEE Robotics Automation Conference, Detroit, USA, pp. 2639-2644, 1999.
[C166] C. H. Lee and C. C. Teng, “A Novel Method to Identify Nonlinear Dynamic Systems,” 1999 European Control Conference, ECC’99, Karlsruhe, Germany, 31 August - 3 September 1999.
[C167] C. H. Lee and C. C. Teng, “A Dynamic Neural Network: Controllability and Universal Approximation,” The 8th Int. Fuzzy Systems Association World Congress, pp. 598-602, 1999.
[C168] Ti-Chung Lee, C. H. Lee and C. C. Teng, “Adaptive Tracking Control of Nonholonomic Mobile Robots by Computed Torque,” 1999 IEEE Conf. on Control and Decision, pp. 1254-1259, Arizona, USA, 1999.
[C169] C. H. Lee and C. C. Teng, “A Hammerstein Model for Identifying General Nonlinear Dynamics Systems,” 1999 Int. Symposium on Nonlinear Theory and its Applications (NOLTA1999), Hawaii, USA. 29 Nov.-3 Dec. 1999, pp. 375-378.
[C170] C. H. Lee and C. C. Teng, “A Novel Method for Tuning of PID Controllers for Unstable Processed Based on Gain and Phase Margin Specifications,” 1999 Int. Symposium on Nonlinear Theory and its Applications (NOLTA1999), Hawaii, USA, 29 Nov.-3 Dec. 1999, pp. 459-462.
[C171] C. H. Lee and C. C. Teng, “A Hybrid Control Applied to a Nonlinear Benchmark System,” 1998 R.O.C. Automatic Control Conf.,, pp. 257-262, 1998.
[C172] C. H. Lee and C. C. Teng,“Identification of Hammerstein Systems: Fuzzy Neural Network Approach,”6th National Fuzzy Theory and Its Applications Conference, 1998.
[C173] Ti-Chung Lee, C. H. Lee and C. C. Teng, “Tracking Control of Mobile Robots without Constraint on Velocities,” The 5th Int. Conf. on Control, Automation, Robotics and Vision, ICARCV98, 8-11 December 1998, Mandarin Hotel, Singapore, pp. 1715-1719.
[C174] C. H. Lee and C. C. Teng, “Control of Nonlinear Systems Using a Fuzzy Neural Network,” 1996 Asian Fuzzy Systems Symposium, pp. 41-45, 1996. [C01] S. X. Yang, B. R. Tseng and C. H. Lee, “Enhancing Dynamic Path Accuracy in Six-Axis Robotic Manipulators: A Novel Diagnostic and Tuning Methodology,” International Automatic Control Conference (CACS 2024), 2024
[C02] W. L. Hong and C. H. Lee, “A Novel Estimation of Anesthesia Depth Using Power Ratio,” International Conference on Fuzzy Theory and Its Applications (iFUZZY 2024), 2024
[C03] H. Y. Chua and C. H. Lee, “Development of the Identification Power Model Parameters Platform for Quadcopter Drone,” The 1st International Conference on AI Sensors and The 10th International Symposium on Sensor Science (AIS-I3S 2024), 2024 (Poster Session)
[C04] S. Chi, K. Honda and C. H. Lee, “Healthcare Service with Temi Robot and Android Application for Guidance Assistance System,” International Conference on System Science and Engineering (ICSSE 2024), 2024
[C05] C. L. Cheng and C. H. Lee, “Point Cloud Semantic Segmentation Map for Indoor Robots,” International Conference on System Science and Engineering (ICSSE 2024), 2024
[C06] B. R. Tseng, J. Y. Jiang and C. H. Lee, “Adaptive Hybrid Position/Force Control of Robot Manipulator using Fuzzy Neural Network and Interaction Stiffness Estimator,” International Conference on System Science and Engineering (ICSSE 2024), 2024
[C07] J. Y. Chen and C. H. Lee, “Indoor Patrol System with Face Recognition for Low-light Condition,” International Conference on System Science and Engineering (ICSSE 2024), 2024
[C08] C. C. Huang and C. H. Lee, “Development of a Low-Light Anomaly Detection System Using Edge Devices Integrated with UAV Autonomous Tracking,” International Conference on System Science and Engineering (ICSSE 2024), 2024
[C09] C. W. Chen and C. H. Lee, “A Closed-Loop Upper Limb Rehabilitation System Based on SSVEP Brain-Computer Interface,” International Conference on System Science and Engineering (ICSSE 2024), 2024
[C10] C. T. Huang, M. L. Huang, H. H. Chiang and C. H. Lee, “Toward Personalized Car-Following Behaviors From Driver Data Using Learned and Hybrid Control Strategies,” International Conference on System Science and Engineering (ICSSE 2024), 2024
[C11] Eric J. Tzeng, H. Y. Chua, C. H. Lin and C. H. Lee, “無人機之風阻量測實驗平台設計與系統鑑別,” Conference on Theoretical and Applied Mechanics (CTAM 2023), 2023. (in Chinese)
[C12] S. R. Chen, C. H. Lee and M. C. Lu, “智慧加工系統於超音波加工之開發,” Conference on Theoretical and Applied Mechanics (CTAM 2023), 2023. (in Chinese)
[C13] C. H. Lin, H. Y. Chua, Eric J. Tzeng and C. H. Lee, “Velocity and Path Optimization Algorithm Design for Drone Spraying Mission,” International Automatic Control Conference (CACS 2023), 2023.
[C14] W. L. Hong, C. K. Ting, P. Y. Huang, H. Z. Hee and C. H. Lee, “A General EEG-based Anesthesia Depth Monitoring Using Power Band Ratios,” International Automatic Control Conference (CACS 2023), 2023.
[C15] C. C. Kuo and C. H. Lee, “Efficient Structural Damage Detection Using Joint Vibration Signals and 1D-CNN Mode,” International Automatic Control Conference (CACS 2023), 2023.
[C16] Z. S. Syu and C. H. Lee, “Binary One-Dimensional Convolutional Neural Network Accelerator for Vibrational Signals Analysis,” International Conference on System Science and Engineering (ICSSE 2023), 2023.
[C17] K. C. Chao, Y. Shih, C. H. Lee, “A Novel Label Smoothing Technique for Machine Degradation,” International Federation of Automatic Control (IFAC 2023), 2023. Yokohama, Japan.
[C18] Eric J. Tzeng, C. H. Lee, C. C. Song, “Energy Consumption Optimization on Loading Variation Drone System by Air Speed Control Strategy,” International Federation of Automatic Control (IFAC 2023), 2023. Yokohama, Japan.
[C19] K. T. Yu and C. H. Lee, “Collision Detection Technique Development of Robot Manipulator Using Deep Learning,” NSSSE 2023, 2023.
[C20] J. T. Tang and C. H. Lee, “Abnormal Detection of Motor Imagery EEG Signals for BCI Applications Using Autoencoder,” NSSSE 2023, 2023.
[C21] C. C. Lai and C. H. Lee, “Machining Error Estimation of Alloy Steel Turning Using One-Dimensional CNN with SE Block Structure,” NSSSE 2023, 2023.
[C22] K. X. Lin and C. H. Lee, “Optimization of Reflow Soldering Parameters,” NSSSE 2023, 2023.
[C23] Y. X. Huang and C. H. Lee, “基於動態影像辨識應用於手部動作檢測,” NSSSE 2023, 2023. (in Chinese)
[C24] Y. H. Lin, C. H. Lee and Y. T. Shih, “Improved Unsupervised Learning by Using Sample Distribution Transfer on Rotating Machinery Diagnostics ,” CSME 2022, 2022. (in Chinese)
[C25] H. C. Lee, C. H. Lee, L. W. Lee, J. R. Zhuang, C. C. Kuo and K. C. Chao, “Minimization of Features Selection for SSVEP-BCI Signals Classification by Using Machine Learning Techniques,” Int. Automatic Control Conf. 2022.
[C26] R. M. Zhang and C. H. Lee, “Multiple-Cut Process Optimization of Wire Electrical Discharge Machining,” NSSSE 2022, 2022. (in Chinese)
[C27] C. H. Liu and C. H. Lee, “Sleep Posture Recognition based on Mediapipe,” NSSSE 2022, 2022. (in Chinese)
[C28] B. R. Tseng and C. H. Lee, “Sensor-less Force Estimation of 6-DoF Robot Manipulator,” Int. Automatic Control Conf. 2021.
[C29] S. F. Wu and C. H. Lee, “Intelligent Servo Tuning Method for High-speed Machine Tools based on Circular Tests,” Int. Automatic Control Conf. 2021.
[C30] C. B. Chou and C. H. Lee, “Online Domain Adaptation for Rolling Bearings Fault Diagnosis with Imbalanced Cross-Domain Data,” Int. Automatic Control Conf. 2021.
[C31] G. R. Chen and C. H. Lee, “Break-through Detection of Hole Drilling Electrical Discharge Machine using Deep Learning,” 29th Fuzzy Theory and Its Applications, Oct. 2021. (in Chinese)
[C32] G. Y. Huang and C. H. Lee, “Federated Learning Architecture for Bearing Fault Diagnosis,” Int. Conf. on Systems Sciences and Engineering 2021, August, 2021.
[C33] P. M. Huang and C. H. Lee, “Sensors Influential Analysis and Fusion Technology Development and Application on Tool Wear Alarm,”NSSSE 2021, August, 2021.
[C34] W. F. Ko, B. M. Huang, and C. H. Lee, “Development of Virtual Milling System Using Data Fusion and Transfer Learning,” 2020 International Conference on Pervasive Artificial Intelligence, 2020.
[C35] C. H. Lee and H. H. Chang, “Dynamic Fuzzy Neural System with Hybrid Differential Evolution Algorithm for Image Noise Removal,” Int. Automatic Control Conf. 2020.
[C36] C. H. Lee, Y. R. Lin, and M. C. Lu, “Tool Wear Monitoring in Milling Using Neural Network and CMSFS Based on Multi-Sensors,” Int. Automatic Control Conf. 2020.
[C37] H. Y. Chen, C. H. Lee, S. Yu “Vibration Signals Analysis by Deep Learning Approach,” Int. Automatic Control Conf. 2020.
[C38] H. Y. Chen and C. H. Lee, “Vibration Signals Analysis Using Explanation of Convolutional Neural Networks: An Investigation of Tool Wear Classification,” Int. Conf. on Fuzzy Theory and Its Applications, iFUZZY 2020.
[C39] H. Y. Chen and C. H. Lee, “Vibration Signals Analysis for Bearing Fault Diagnosis Using Convolutional Neural Network and XAI Approach,” Int. Conf. on System Science and Engineering 2020.
[C40] G. J. Chen, C. H. Lee, and W. Y. Lai, “Virtual Machining System Development for Electrical Discharge Machining,” Int. Conf. on System Science and Engineering 2020.
[C41] S. Yu, C. J. Ho, C. H. Liu, and C. H. Lee, “Real-time Automatic Optical Ispection System,” Proceedings of 2020 National Symposium on System Science and Engineering, Taichung, 22~23 May, 2020. (in Chinese)
[C42] C. M. Liu and C. H. Lee, “Optimization of Automated Storage/Retrieval System－A Case Study of Central Warehouse Center of TPC,” Proceedings of 2020 National Symposium on System Science and Engineering, Taichung, 22~23 May, 2020.
[C43] W. F. Kuo and C. H. Lee, “Machining Parameters Selection for High Speed Processing,” 2019 International Conference on Engineering, Science, and Industrial Applications, 2019.
[C44] H. Y. Chen and C. H. Lee, “Electricity Consumption Forecasting of Building Using Hierarchical ANFIS and GRA,” International Conference on Machine Learning and Cybernetics, Kobe 2019.
[C45] C. C. Lo, B. S. Chen, and C. H. Lee, “Fault Detection and Remaining Useful Life Estimation of Bearing Using Deep Learning Approach,” International Conference on Advanced Robotics and Intelligent Systems, 2019.
[C46] K. F. Lee and C. H. Lee, “Modelling and Servo-tuning of Feed Drive System for Machine Tools,” Int. Automatic Control Conf. 2018.
[C47] B. S. Chen and C. H. Lee, “Adaptive Model-Free Coupling Controller Design for Multi-Axis System,” Int. Automatic Control Conf. 2018.
[C48] C. H. Lee and K. F. Lee, “Rapid Identification of Friction of Feed Drive Systems for Machine Tools,” Proceedings of the 26th National Conference on Fuzzy Theory and Its Applications, 2018.
[C49] B. S. Chen and C. H. Lee, “A Recurrent Fuzzy Neural Network-Based Adaptive Coupling Control for Multi-Axis Systems,” Proceedings of the 26th National Conference on Fuzzy Theory and Its Applications, 2018.
[C50] B. S. Chen and C. H. Lee, “Adaptive Coupling Controller Design for Multi-axis Systems of Machine Tools,” International Conference on Machine Learning and Cybernetics, Chendu 2018.
[C51] W. T. Wong, C. H. Lo, J. Hsieng, and C. H. Lee, “Realization of the automated system for optical lens kneading and inspection,” 2018 Conference on Applications of Innovation & Invention, 2018. (in Chinese)
[C52] C. C. Tsai, C. C. Lin, H. C. Kuo, and C. H. Lee, “Automated optical inspection system development using mechanical learning technology,” 2018 Conference on Applications of Innovation & Invention, 2018. (in Chinese)
[C53] J. Y. Chiang and C. H. Lee, “Adaptive Force Controller Design and Implementation for Robot Manipulator with Uncertainty and Friction,” iFUZZY 2017.
[C54] C. H. Chu and C. H. Lee, “Adaptive Force Tracking Control of Redundant Robot Manipulator for Task-space,” CACS 2017.
[C55] H. Y. Chen, B. H. Lu, P. M. Huang, and C. H. Lee, “Development of smart self-propelled ball type alarm clock system,” National Conference on Mechanical Engineering of CSME, 2017.12. (in Chinese)
[C56] Y. W. Liaw, J. C. Liaw, and H. Y. Chen, and C. H. Lee, “Development of Active and Passive Walking Aids,” National Conference on Mechanical Engineering of CSME, 2017.12. (in Chinese)
[C57] W. C. Wang and C. H. Lee, “Adaptive Force Control for n-link Robot Manipulator,” 2017 National Conference on Advanced Robotics (NCAR 2017).
[C58] C. Y. Lin and C. H. Lee, “Intelligent Technique for CNC Servo Tuning Based on Particle Swarm Optimization” National Symposium on System Science and Engineering 2017, Taipei, 2017. (in Chinese)
[C59] C. Y. Lin, C. H. Lee, and Y. J. Chen “Machine Doctor: A Feed Drive Diagnosis System for CNC Machine Tools,” 2017 The 3rd International Conference on Inventions (ICI2017)
[C60] C. H. Lee, J. C. Liu, and H. W. Chiu, “Machining Accuracy and Surface Roughness Prediction using Data Driven Approach,” Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, Ningbo, China, 9-12 July, 2017.
[C61] J. Y. Jang and C. H. Lee, “Fuzzy Neural Systems Based Adaptive Impedance Force Controller Design for Robot Manipulator,” 2016 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2016, Taichung, Nov. 9-11, 2016.
[C62] H. W. Chiu, B. F. Yu, C. H. Lee, and J. S. Chen, “CNC Controller Parameters Optimization Using Data-Driven Approach,” 2016 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2016, Taichung, Nov. 9-11, 2016.
[C63] Y. C. Tsai and C. H. Lee, “Robust Two-dimensional IIRFilter Design Using Genetic Algorithm,” 2015 Conference on Applications of Innovation & Invention, 2015.
[C64] C. W. Lee, C. Y. Lin, and C. H. Lee, “A Predicted-based Real-Time Collision Prevention System for Five-Axis Machine Tools,” 2015 International Conference on Inventions (ICI2015).
[C65] P. Y. Chung and C. H. Lee, “Modified Particle Swarm Optimization Algorithm for Cross-coupled Controller Design,” 2015 International Conference on Fuzzy Theory and Its Applications, iFUZZY2015.
[C66] Z. Y. Jhan and C. H. Lee, “A New Adaptive Fuzzy neural force controller for robots manipulator interacting with environments,” in 2015 Int. Conf. of Machine Learning and Cybernetics, ICMLC 2015.
[C67] W. C. Wang and C. H. Lee, “Fuzzy Neural Network-based Adaptive Impedance Force Control Design of Robot Manipulator under Unknown Environment,” 2014 IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE) 2014.
[C68] C. H. Lee, J. H. Liang, and C. M. Lin, “Path Tracking Control of Mobile Robot by Bee Colony Optimization Method,” 11th IEEE Int. Conf. on Control and Automation (IEEE ICCA 2014), 2014.
[C69] J. H. Liang and C. H. Lee, “Self-Navigation of Multi-robot System Using Artificial Bee Colony Algorithm,” 11th IEEE Int. Conf. on Control and Automation (IEEE ICCA 2014), 2014.
[C70] T. W. Hu and C. H. Lee, “Recurrent-Fuzzy-Neural System-based Adaptive Controller for Nonlinear Uncertain Systems,” Int. MultiConf. On Engineers and Computer Scienctists, March 12-14, 2014.
[C71] C. H. Lee, M. Z. Huang, C. M. Lin, “Fuzzy Neural-Based Learning Rate Adjustment for Gradient based Blind Source Separation,” 2013 Int. Conf. of Machine Learning and Cybernetics, ICMLC 2013.
[C72] C. H. Lee, Y. C. Tsai, C. M. Lin, “Application of Improved Genetic Algorithm on IIR Filter Optimization,” 2013 Int. Conf. of Machine Learning and Cybernetics, ICMLC 2013.
[C73] C. H. Lee and H. Y. Hsiu “Velocity Observer-based Fuzzy Adaptive Control of Multi-link Robotic Manipulators,” iFuzzy 2012, The Int. Conf. on Fuzzy Theory and Its Applications, 2012.
[C74] C. H. Lee, Y. H. Lee, and C. M. Lin, “Uncertain Rule-Based Fuzzy Neural Systems Development and Applications,” The 20th National Conference on Fuzzy Theory and Its Applications, 2012.
[C75] C. H. Lee and C. T. Kuo, “Dynamic Solution Agent Algorithm for TSK-type Interval-valued Fuzzy System Optimization,” The 7th IEEE Conference on Industrial Electronics and Applications (ICIEA 2012), Singapore, July 2012.
[C76] C. H. Lee, F. Y. Chang, and C. M. Lin, “Chaos Synchronization Using Un-normalized Interval Type-2 Fuzzy Neural Controller,” 2012 Int. Conf. on Machine Learning and Cybernetics, China, July, 2012.
[C77] C. H. Lee, C. M. Lin, and M. S. Yang, “Control of Nonlinear Systems Using Non-stationary Embedded Recurrent Fuzzy Neural Networks,” 2012 Int. Conf. on Machine Learning and Cybernetics, China, July, 2012.
[C78] C. H. Lee and H. Y. Hsueh, “Observer-based Fuzzy Adaptive Control Design for Multi-Input-Multi-Output Nonlinear Non-affine Systems,” The 11th Int. Conf. om Automation Technology, Douliu, Taiwan, 2011.
[C79] C. H. Lee and J. H. Liang, “On-line Path Planning Strategy Design of Multi-robots System Using Modified Artificial Bee Colony Algorithm,” The 11th Int. Conf. om Automation Technology, Douliu, Taiwan, 2011.
[C80] F. Y. Chang and C. H. Lee, “On-line Adaptive Interval Type-2 Fuzzy Controller Design via Stable SPSA Learning Mechanism,” The 19th National Conf. on Fuzzy Theory and Its Applications, Yun-line, 18-19, Nov., 2011.
[C81] C. H. Lee, H. Y. Liu, and C. K. Lee, “Design and Implementation of Optical Character Recognition System by Functional-link Neural Network,” The 19th National Conf. on Fuzzy Theory and Its Applications, Yu-line, 18-19, Nov., 2011.
[C82] F. Y. Chang and C. H. Lee, “Interval Type-2 Recurrent Fuzzy Neural System for Nonlinear Systems Control Using Stable Simultaneous Perturbation Stochastic Approximation Algorithm,” FUZZ IEEE 2011, Taipei, Taiwan, June 27~30, 2011.
[C83] F. Y. Chang and C. H. Lee, “An Efficient Optical Character Recognition System Using Interval Type-2 TSK Fuzzy Neural Network,” 2011 National Symposium on System Science and Engineering, National Chi Nan University, Nantou, Taiwan, June 17~18, 2011.
[C84] Y. H. Lee and C. H. Lee, “Stable Learning Mechanism for Novel Takagi-Sugeno-Kang Type Interval-valued Fuzzy Systems,” The 2011 IAENG Int. Conf. on Artificial Intelligence and Applications, Hong Kong, March 16-18, 2011.
[C85] C. H. Lee, C. M. Yu, and J. C. Chien, “Adaptive Neural Network Controller Design for a Class of Nonlinear Systems Using SPSA Algorithm,” The 2011 IAENG Int. Conf. on Control and Automation, Hong Kong, March 16-18, 2011.
[C86] C. H. Lee, P. Y. Chung, and H. H. Chang, “A Novel Hybrid Differential Evolution Algorithm: A Comparative Study on Function Optimization,” The 2011 IAENG Int. Conf. on Operations Research, Hong Kong, March 16-18, 2011.
[C87] C. H. Lee and C. T. Kuo, “Blind Source Separation by using TSK-Type Interval-Valued Neural Fuzzy System with The Modified Water Flow-Like Algorithm,” 2010 The 18th Conference on Fuzzy Theory and Its Applications, Taoyuan, Dec. 3-4, 2010.
[C88] H. W. Chiu and C. H. Lee, “Use wind turbine parameters to estimate power output: use fuzzy neural networks,” 2010 Taiwan Wind Energy Symposium, Taiwan, Penghu, Dec. 2010.
[C89] C. H. Lee, F. K Chang, H. W. Chiu, and F. Y. Chang, “Prediction-based Control Using Modified Electromagnetism-like Algorithm for Neural Fuzzy Systems,” The SICE Annual Conference 2010 (SICE 2010). Received the invitation for submission of SICE Journal of Control, Measurement, and System Integration.
[C90] F. Y. Chang and C. H. Lee, “Interval Type-2 Recurrent Fuzzy Neural System with Asymmetric Membership Functions for Chaotic System Identification,” The SICE Annual Conference 2010 (SICE 2010).
[C91] C. H. Lee, H. W. Chiu, and C. T. Li, “A Novel Neuro-Fuzzy Classification System Design by a Species-based Hybrid Algorithm,” Int. Conf. on Machine Learning and Cybernetics 2010.
[C92] C. H. Lee, F. Y. Chang, and C. T Li, “Species-based Hybrid of Electromagnetism-like Mechanism and Back-propagation Algorithms for An Interval Type-2 Fuzzy System Design,” The 2010 IAENG Int. Conf. on Artificial Intelligence and Applications, Hong Kong, 17-19 March, 2010.
[C93] C. H. Lee, J. H. Liang, and Y. C. Lee, “Nonlinear Systems Design by a Novel Fuzzy Neural System via Hybridization of EM and PSO Algorithms,” The 2010 IAENG Int. Conf. on Artificial Intelligence and Applications, Hong Kong, 17-19 March, 2010.
[C94] C. H. Lee, H. Y. Hsueh, “Simultaneous Perturbation Stochastic Approximation Learning Rule for Neural-based Decoupled Sliding Mode Controller Design of Discrete-time Nonlinear Multi-input-multi-output Systems,” The 2010 IAENG Int. Conf. on Artificial Intelligence and Applications, Hong Kong, 17-19 March, 2010.
[C95] C. H. Lee and S. K. Chang, “Intelligent Controller Design and Experimental Implementation of Nonlinear TORA System,” 2009 IEEE Int. Conf. on Control and Automation, Dec. 9-11, 2009.
[C96] C. H. Lee, C. T. Kuo, and H. H. Chang, “Recurrent Fuzzy System Optimization via Continuous Water Flow-like Algorithm,” 2009 The 17th Conference on Fuzzy Theory and Its Applications, Taoyuan, Dec. 18-19, 2009.
[C97] C. H. Lee and J. C. Chien, “Fuzzy-Neural-based Decoupled Controller Design of Nonlinear Multi-input-multi-output System,” 2009 The 17th Conference on Fuzzy Theory and Its Applications, Taoyuan, Dec. 18-19, 2009.
[C98] C. H. Lee and Y. C. Lee, “Hybridization of Electromagnetism-like and Particle Swarm Optimization Algorithms for Fractional Order PID Controller Design,” 2009 Int. Automatic Control Conference (IACC).
[C99] C. H. Lee, C. T. Kuo, and H. H. Chang, “Performance Enhancement of Differential Evolution Algorithm Using Local Search and Self-adaptive Scaling Factor,” 2009 Int. Automatic Control Conference (IACC).
[C100] C. H. Lee, L. J. Kau, Y. P. Lin, “A Fuzzy Neural Network Based Adaptive Predictor with P-Controller Compensation for Lossless Compression of Images,” IEEE Int. Symposium on Circuits and Systems (ISCAS), pp. 633-636, 2009.
[C101] C. H. Lee, C. T. Kuo, H. H. Chang, J. C. Chien, and F. K. Chang,, “A Hybrid Algorithm of Electromagnetism-like and Genetic for Recurrent Neural Fuzzy Controller Design,” 2009 IMECS, the Int. Multi-Conference of Engineers and Computer Scientists 2009, Hong Kong, March 2009.
[C102] C. H. Lee, H. H. Chang, C. T. Kuo, J. C. Chien, and Z. W. Hu, “A Novel Recurrent Interval Type-2 Fuzzy Neural Network for Nonlinear Channel Equalization,” 2009 IMECS, the Int. Multi-Conference of Engineers and Computer Scientists 2009, Hong Kong, March 2009. (Good paper collection for special issue of IMECS 2009)
[C103] C. H. Lee, C. J. Chien, H. H. Chang, C. T. Kuo, and H. S. Chang, “Direct Adaptive Backstepping Control for a Class of MIMO Non-affine Systems Using Recurrent Neural Networks,” 2009 IMECS, the Int. Multi-Conference of Engineers and Computer Scientists 2009, Hong Kong, March 2009.
[C104] C. H. Lee and Y. C. Lee, “An Improved Electromagnetism-like Algorithm for Neural Fuzzy Systems Design,” 2008 The 16th Conference on Fuzzy Theory and Its Applications, Taoyuan, Dec. 20, 2008.
[C105] C. T. Lee and C. H. Lee, “Application of the type-2 fuzzy neural network combined with support vector machine,” 2008 The 16th Conference on Fuzzy Theory and Its Applications, Taoyuan, Dec. 20, 2008.
[C106] C. H. Lee and M. H. Chiu, “Direct Adaptive Control Using Hybrid Neuro-fuzzy System for Stable Path Tracking of Mobile Robots,” 2008 The 16th National Conf. on Automation Technology, June 27-28, Kaushiung Taiwan, 2008.
[C107] C. H. Lee and H. Y. Pan, “Performance Enhancement for Neural Fuzzy Systems Using Asym-metric Membership Functions,” 2008 CACS The 2008 Int. Automatic Control Conference.
[C108] C. H. Lee and H. H. Chang, “Improved Adaptive Backstepping Control (IABC) for a Class of MIMO Non-affine Systems Using Wavelet Neural Networks,” 2008 CACS The 2008 Int. Automatic Control Conference (IACC).
[C109] C. H. Lee, T. W. Hu, C. T. Lee, and Y. C. Lee, “A Recurrent Interval Type-2 Fuzzy Neural Network with Asymmetric Membership Functions for Nonlinear System Identification,” 2008 Int. Conf. on Fuzzy Systems (FUZZ2008), Hong Kong, 2008.
[C110] C. H. Lee and F. K. Chang, “Design of Fractional PID Control via Hybrid of Electromagnetism-like and Genetic Algorithms,” The Int. Conf. on Intelligent Systems Design and Applications (ISDA), 2008.
[C111] C. H. Lee and H. H. Chang, “ORWNN-Based Adaptive Backstepping Controller for a Class of MIMO Nonlinear Non-affine Systems,” Int. Automatic Control Conference, Nov. 9-11, Taichung, Taiwan, 2007.
[C112] C. H. Lee, F. K. Chang, and C. W. Chen, “A Modified Electromagnetism-like Algorithm for Training Neural Fuzzy Systems in Control Applications,” Int. Automatic Control Conference, Nov. 9-11, Taichung, Taiwan, 2007.
[C113] C. H. Lee and B. R. Chung, “Fuzzy Neural Network Based Adaptive Backstepping Controller Design for a Class of Nonlinear Uncertain Systems,” 2007 The 15th Conference on Fuzzy Theory and Its Applications, Yuanlin, Dec. 14-15, 2007.
[C114] C. H. Lee, C. W. Chen, and F. K. Chang, “Training Fuzzy Neural Networks Using Electromagnetism-like Algorithm for Nonlinear System Control,” 2007 The 15th Conference on Fuzzy Theory and Its Applications, Yuanlin, Dec. 14-15, 2007.
[C115] C. H. Lee and B. R. Chung, “Adaptive Backstepping Control for a Class of Nonlinear Uncertain Systems Using Fuzzy Neural Networks,” ICMLC 2007, Int. Conf. on Machine Learning and Cybernetics, Hong Kong, 2007.
[C116] C. H. Lee and H. Y. Pan, “Construction of Asymmetric Type-2 Fuzzy Membership Functions and application in Time Series Prediction,” ICMLC 2007, Int. Conf. on Machine Learning and Cybernetics, Hong Kong, 2007.
[C117] C. H. Lee and M. H. Chu, “Adaptive Nonlinear Control Using TSK-type Recurrent Fuzzy Neural Network System,” Int. Symposium on Neural Networks, Nanjing, China, June 3-7, 2007.
[C118] C. H. Lee and Y. C. Lin, “Type-2 Fuzzy Neuro System via Input-to-state-stability Approach,” Int. Symposium on Neural Networks, Nanjing, China, June 3-7, 2007.
[C119] C. H. Lee and H. Y. Pan, “Type-2 Fuzzy Neural Systems with Asymmetric Membership Functions: Analysis and Application in Nonlinear System Identification,” 2006 The 14th National Conference on Fuzzy Theory and Its Applications, Kaushiung, Taiwan. Dec. 14-15, 2006.
[C120] C. H. Lee and H. S. Chang, “Decoupled Adaptive Control Scheme of Nonlinear TORA System Using Parametric-CMAC,” 2006 The 14th National Conf. on Fuzzy Theory and Its Applications, Kaushiung, Taiwan. Dec. 14-15, 2006.
[C121] C. H. Lee and B. R. Chung, “An Adaptive Disturbance Observer Based Control (ADOBC) for Nonlinear Uncertain Systems Using RBF Network,” 2006 The 14th National Conference on Fuzzy Theory and Its Applications, Kaushiung, Taiwan. Dec. 14-15, 2006.
[C122] B. R. Chung and C. H. Lee, “Nonlinear Disturbance Observer based Control via Fuzzy Neural Network,” 2006 R.O.C. Automatic Control Conference, Taipei, Nov. 2006.
[C123] C. H. Lee and B. H. Wang, “Adaptive Wavelet-based-CMAC Network Predictor Design for Lossless Image Coding,” 2006 R.O.C. Automatic Control Conference, Taipei, Nov. 2006.
[C124] J. I. Tsai, C. C. Teng, and C. H. Lee, “Reasoning of Logical Petri Nets,” 2006 R.O.C. Automatic Control Conference, Taipei, Nov. 2006.
[C125] C. H. Lee, H. Y. Pan, H. S. Chang, and B. H. Wang, “Decoupled Adaptive Type-2 Fuzzy Controller (DAT2FC) Design for Nonlinear TORA Systems,” IEEE World Congress on Computational Intelligence, Vancouver, Canada, July 16-21, 2006.
[C126] C. H. Lee, B. H. Wang, H. S. Chang, and H. Y. Pan, “A Novel Wavelet-based-CMAC Neural Network Controller for Nonlinear Systems,” IEEE World Congress on Computational Intelligence, Vancouver, Canada, July 16-21, 2006.
[C127] D. C. Liaw and C. H. Lee, “An Approach to Estimate Domain of Attraction for Nonlinear Control Systems,” The first Int. Conf. on Innovative Computing, Information and Control (ICICIC-06), Beijing, China, August, 2006.
[C128] J. I. Tsai, C. H. Lee, and C. C. Teng, “Test Generation and Site of Fault for Combinational Circuits Using Logic Petri Nets,” 2006 IEEE Int. Conf. on Systems, Man, and Cybernetics, Taipei, R. O. C. Oct. 2006.
[C129] C. H. Lee and H. T. Cheng, “Fuzzy PID Controller Design for Nonlinear Uncertain Systems with Dead-Time via Smith Predictor,” 2005 R.O.C. Automatic Control Conference, Tainan.
[C130] C. H. Lee and M. H. Chiu, “Hybrid Learning Algorithm (GA_BPPSO) for TSK-type Recurrent Fuzzy Neural Network (TRFNN) Systems in Nonlinear Identification and Control,” 2005 R.O.C. Automatic Control Conference, Tainan.
[C131] H. Y. Pan and C. H. Lee, “Decoupled Adaptive Fuzzy Controller Design for Nonlinear Benchmark Problem,” 2005 R.O.C. Automatic Control Conference, Tainan.
[C132] B. H. Wang and C. H. Lee, “Control of Nonlinear TORA System Using Two Mode Control Scheme,” 2005 R.O.C. Automatic Control Conference, Tainan.
[C133] D. C. Liaw and C. H. Lee, “Stabilization of Nonlinear Critical Systems by Center Manifold,” Int. Conf. on Systems and Signals, ICSS 2005, Taiwan, R. O. C. April, 2005.
[C134] C. H. Lee and Y. C. Lin, “Adaptive Control for Nonlinear Chaotic System Using Type-2 Fuzzy Neural Network System (Type-2 FNN),” 2004 The Twelfth National Conf. on Fuzzy Theory and Its Applications, I-Lan, Taiwan.
[C135] C. H. Lee and W. Y. Lai, “A TSK-Type Fuzzy Neural Network (TFNN) System for Identifying and Controlling Nonlinear Unknown Systems,” 2004 The Twelfth National Conference on Fuzzy Theory and Its Applications, I-Lan, Taiwan.
[C136] C. H. Lee and M. H. Chiu, “Recurrent Fuzzy Neural Network for Nonlinear Control via Hybrid Learning using Genetic Algorithm, Back Propagation, and Particle Swarn Optimization,” 2004 The Twelfth National Conference on Fuzzy Theory and Its Applications, I-Lan, Taiwan.
[C137] C. H. Lee and Y. C. Lin, “An Adaptive Filter Design via Periodic Fuzzy Neural Network,” 2004 R.O.C. Automatic Control Conference, March 2004.
[C138] C. H. Lee and W. Y. Lai, “Adaptive Self-Organizing Fuzzy Neural Network Predictor Design for Lossless Image Coding,” 2004 R.O.C. Automatic Control Conference, March 2004.
[C139] C. H. Lee and Y. C. Lin, “Hybrid Learning Algorithm for Fuzzy Neuro Systems,” Fuzz-IEEE 2004, 2004 IEEE Int. Conf. on Fuzzy Systems, Budapets.
[C140] C. H. Lee and Y. C. Lin, “Control of Nonlinear Uncertain Systems Using Type-2 Fuzzy Neural Network and Adaptive Filter,” 2004 IEEE Int. Conf. on Networking, Sensing and Control, pp. 1177-1182, 2004.
[C141] C. H. Lee, W. Y. Lai, and C. C. Chen, “Lossless Image Coding via Adaptive Takagi-Sugeno Fuzzy Neural Network Predictor,” 2004 IEEE Int. Conf. on Networking, Sensing and Control, pp. 565-570, 2004.
[C142] C. H. Lee and C. J. Yu, “An Intelligent Handoff Algorithm for Wireless Communication Systems Using Grey Prediction and Fuzzy Decision System,” 2004 IEEE Int. Conf. on Networking, Sensing and Control, pp. 541-546, 2004.
[C143] C. H. Lee, “Control of Nonlinear TORA System: On-line Adaptive Approach Using Recurrent Fuzzy Neural Network (RFNN),” The Joint Conf. on AI, Fuzzy System, and Grey System, Dec. 4-6, 2003.
[C144] C. H. Lee and C. J. Yu, “Integrator Backstepping-Grey Prediction Control (IBSGPC) and Its Application on the TORA System,” The Joint Conf. on AI, Fuzzy System, and Grey System, Dec. 4-6, 2003.
[C145] C. H. Lee, J. L. Hong, and C. C. Teng, “Low Order Robust Controller Design for Preserving H∞ Performance: Genetic Algorithm Approach,” 2003 R.O.C. Automatic Control Conference, March 2003.
[C146] C. H. Lee, “Type-2 Fuzzy Neural Network System and Learning,” 2003 R.O.C. Automatic Control Conf., March 2003.
[C147] C. H. Lee, W. Y. Lai, and Y. C. Lin, “A TSK-Type Fuzzy Neural Network (TFNN) Systems for Dynamic Systems Identification,” 2003 IEEE Control and Decision Conference (2003CDC), pp. 4002-4007, Hawaii, Maui, 9-12 Dec. 2003.
[C148] C. H. Lee, Y. C. Lin, and W. Y. Lai, “Systems Identifiaction Using Type-2 Fuzzy Neural Network (Type-2 FNN) Systems,” The 5th IEEE Int. Symp. on Computational Intelligence in Robotics and Automation (CIRA2003).
[C149] C. H. Lee, C. C. Teng, M. A. Kuo, and M. H. Chiu, “Genetic-based Fuzzy-Neural-Network System and Its Application in Fuzzy Rules Reduction,” 2002 R.O.C. Automatic Control Conf., Tainan, March 13-14, 2002.
[C150] C. C. Teng, C. H. Lee, “Low-order Controller Design based on H∞ Performance,” 2002 R.O.C. Automatic Control Conf., Tainan, March 13-14, 2002.
[C151] Y. C. Wang, C. C. Teng, and C. H. Lee, “Generalized recurrent Fuzzy Neural Networks (GRFNN) and Its Applications on Nonlinear Control Problems,” The 10th Fuzzy Theory and Its Applications Conf., August 2002.
[C152] C. H. Lee, M. A. Kuo, and M. H. Chiu, “Optimal Path Planning Using a Modified Genetic Algorithm,” The 10th Fuzzy Theory and Its Applications Conf., August 2002.
[C153] C. H. Lee and P. C. Kuo, “A Hybrid Learning Algorithm for Fuzzy Neural Network Using GA and BP,” The 10th Fuzzy Theory and Its Applications Conf. August 2002.
[C154] C. H. Lee and C. C. Teng, “A Novel Robust PID Controllers Design by Fuzzy Neural Network,” 2002 ACC, American Control Conference, May 8-10, pp. 1561-1566, Alaska, USA, 2002.
[C155] C. H. Lee, “Fuzzy Fourier System for Function Mapping,” IEEE Technique Conf. on Computers, Communications, Control and Power Engineering (TENCON’02), Beijing, China, October 28-31, 2002.
[C156] C. H. Lee and C. C. Teng, “A Fuzzy Neural Network Based Formula for Tuning the PID Controllers,” 2001 R.O.C. Automatic Control Conf., pp. 278-283, Taiwan, Taoyuan, 2001。
[C157] C. H. Lee and C. C. Teng, “Adaptive PD Controller Design for Nonlinear Dynamic Systems,” 2001 Ninth National Conf. on Fuzzy Theory and Its Applications, Nov. 23-24, Taoyuan, 2001.
[C158] C. H. Lee and C. C. Teng, “Fuzzy Rules Reduction by Adaptive Membership Functions,” 2000 R.O.C. Automatic Control Conf., Hsinchu, pp. 540-545, 2000。
[C159] C. H. Lee and C. C. Teng, “Identification of Periodic Function by Fuzzy Neural Network system,” The 8th Fuzzy Theory and Its Applications Conference, Taipei, 2000.
[C160] C. H. Lee and C. C. Teng, “Approximation of Periodic Function Using Fuzzy Neural Network,” ISPAC’2000, 2000 IEEE Int. Symp. on Intelligent Signal Processing and Communication Systems, Vol. 2, pp. 1073-1077, 2000, Hawaii.
[C161] T. C. Lee and C. H. Lee, “New Stability Results for Nonlinear Time-varying Systems Based on a Modified Detectability Condition,” 2000 IEEE Conf. on Decision and Control, CDC2000, Sydney, Australia.
[C162] C. H. Lee and C. C. Teng, “Identification of Nonlinear Dynamic Systems Using Hammerstein-type Model,” 1999 R.O.C. Automatic Control Conf., Taichung, pp.531-536, 1999.
[C163] C. H. Lee and C. C. Teng, “Tuning Membership Functions of the Fuzzy Neural Control System,” Conference on Automation Technology， 1999年7月.
[C164] C. H. Lee and C. C. Teng, “Tuning of PID controller for Stable and Unstable Processes with Gain and Phase Margins Specifications,” 99’ Professor Yanping Shi's Memorial Symposium，Nov. 13, 1999, Taipei。
[C165] T. C. Lee, K. T. Song, C. H. Lee, and C. C. Teng, “Tracking Control of Mobile Robots Using Saturation Feedback Controller,” 1999 IEEE Robotics Automation Conference, Detroit, USA, pp. 2639-2644, 1999.
[C166] C. H. Lee and C. C. Teng, “A Novel Method to Identify Nonlinear Dynamic Systems,” 1999 European Control Conference, ECC’99, Karlsruhe, Germany, 31 August - 3 September 1999.
[C167] C. H. Lee and C. C. Teng, “A Dynamic Neural Network: Controllability and Universal Approximation,” The 8th Int. Fuzzy Systems Association World Congress, pp. 598-602, 1999.
[C168] Ti-Chung Lee, C. H. Lee and C. C. Teng, “Adaptive Tracking Control of Nonholonomic Mobile Robots by Computed Torque,” 1999 IEEE Conf. on Control and Decision, pp. 1254-1259, Arizona, USA, 1999.
[C169] C. H. Lee and C. C. Teng, “A Hammerstein Model for Identifying General Nonlinear Dynamics Systems,” 1999 Int. Symposium on Nonlinear Theory and its Applications (NOLTA1999), Hawaii, USA. 29 Nov.-3 Dec. 1999, pp. 375-378.
[C170] C. H. Lee and C. C. Teng, “A Novel Method for Tuning of PID Controllers for Unstable Processed Based on Gain and Phase Margin Specifications,” 1999 Int. Symposium on Nonlinear Theory and its Applications (NOLTA1999), Hawaii, USA, 29 Nov.-3 Dec. 1999, pp. 459-462.
[C171] C. H. Lee and C. C. Teng, “A Hybrid Control Applied to a Nonlinear Benchmark System,” 1998 R.O.C. Automatic Control Conf.,, pp. 257-262, 1998.
[C172] C. H. Lee and C. C. Teng,“Identification of Hammerstein Systems: Fuzzy Neural Network Approach,”6th National Fuzzy Theory and Its Applications Conference, 1998.
[C173] Ti-Chung Lee, C. H. Lee and C. C. Teng, “Tracking Control of Mobile Robots without Constraint on Velocities,” The 5th Int. Conf. on Control, Automation, Robotics and Vision, ICARCV98, 8-11 December 1998, Mandarin Hotel, Singapore, pp. 1715-1719.
[C174] C. H. Lee and C. C. Teng, “Control of Nonlinear Systems Using a Fuzzy Neural Network,” 1996 Asian Fuzzy Systems Symposium, pp. 41-45, 1996.
研究計畫
Research Grants and Funding
Co-Principal Investigator, 聰明生產與智慧精準製造之數位決策、AI模型、大數據治理與核心技術之整合製造平台及其科技法律與產業生態系統(II) (2/2)，人工智慧(AI)專案(主題研究群計畫)，An integrated manufacturing platform, the law of science and technology, and industrial ecosystem - smart production and intelligent precision manufacturing with digital decision, AI modeling, big data governance and kernel technologies (II) (2/2), National Science and Technology Council, Taiwan, 2024/11/01~2025/10/31, NT$18,400,000
Principal Investigator, 智慧自行車功率踏板信號分析與優化服務委託案，Microprogram Information Co., Ltd, 2024/09/01~2025/08/31, NT$800,000
Principal Investigator, 晶圓機械手臂振動抑制研究與實現，HIWIN TECHNOLOGIES CORP. , 2024/08/01~2025/07/31, NT$1,200,000
Principal Investigator, 113年度工研院創新前瞻技術研究計畫(1/1)-超大行程機器人之通用軌跡規劃與校正系統開發，Development of a Universal Trajectory Planning and Calibration System for Large-Range Robot, Industrial Technology Research Institute (ITRI), 2024/08/01~2024/11/30, NT$1,000,000
Co-Principal Investigator, 應用於AMR彈性製造之工業機器人ChatBot開發-學門主題式計畫：應用於AMR彈性製造之工業機器人ChatBot開發(1/3) , National Science and Technology Council, Taiwan, 2024/08/01~2025/07/31, NT$4,500,000
Co-Principal Investigator, 聰明生產與智慧精準製造之數位決策、AI模型、大數據治理與核心技術之整合製造平台及其科技法律與產業生態系統(II) (1/2)，人工智慧(AI)專案(主題研究群計畫)，An integrated manufacturing platform, the law of science and technology, and industrial ecosystem - smart production and intelligent precision manufacturing with digital decision, AI modeling, big data governance and kernel technologies (II) (1/2), National Science and Technology Council, Taiwan, 2023/11/01~2024/10/31, NT$23,000,000
Co-Principal Investigator, 學門主題式計畫：結合自主飛行無人載具與人工智慧於精準農業病蟲害診斷與防治系統之技術研發與平台建置(3/3)，Thematic project-Technology development and platform construction of disease and pest diagnosis and treatment system for precision agricultural combined with autonomous-flying unmanned vehicles and artificial intelligence (3/3), National Science and Technology Council, Taiwan, 2023/08/01~2024/10/31, NT$6,000,000
Principal Investigator, 智動化外牆檢測飛行載具研製(2年期)，Intelligent Wall Inspection UAV Mechanism Design and Development, National Science and Technology Council, Taiwan, 2023/08/01~2025/07/31, NT$2,600,000
Principal Investigator, 機械手臂外力估測與控制模組，Industrial Technology Research Institute (ITRI), 2023/04/30~2023/11/15, NT$400,000
Principal Investigator, SMT產線智慧化參數調參功能與檢測技術開發計畫，Accton Technology Corporation, 2022/08/05~2023/12/31, NT$2,100,000
Co-Principal Investigator, 聰明生產與智慧精準製造之數位決策、AI模型、大數據治理與核心技術之整合製造平台及其科技法律與產業生態系統(2/2)，人工智慧(AI)專案(主題研究群計畫)，An integrated manufacturing platform, the law of science and technology, and industrial ecosystem - smart production and intelligent precision manufacturing with digital decision, AI modeling, big data governance and kernel technologies (2/2), National Science and Technology Council, Taiwan, 2022/11/01~2023/10/31, NT$23,000,000
Co-Principal Investigator, 學門主題式計畫：結合自主飛行無人載具與人工智慧於精準農業病蟲害診斷與防治系統之技術研發與平台建置(2/3)，Thematic project-Technology development and platform construction of disease and pest diagnosis and treatment system for precision agricultural combined with autonomous-flying unmanned vehicles and artificial intelligence (2/3), National Science and Technology Council, Taiwan, 2022/08/01~2023/09/30, NT$5,500,000
Principal Investigator, 機械手臂動態軌跡性能提升技術開發與驗證(3年期)，Dynamic Accuracy Performance Improvement of Industrial Robot Manipulator, Ministry of Science and Technology, Taiwan, 2022/08/01~2025/07/31, NT$4,566,000
Principal Investigator, 111年度智慧機器人與製造應用AI系統開發專案計畫-AI輔助研拋墊磨耗估測技術開發，Development of AI-assisted polishing pad wear estimation technology, Industrial Technology Research Institute (ITRI), 2022/04/01~2022/11/30, NT$400,000
Co-Principal Investigator, 聰明生產與智慧精準製造之數位決策、AI模型、大數據治理與核心技術之整合製造平台及其科技法律與產業生態系統(1/2)，人工智慧(AI)專案(主題研究群計畫)，An integrated manufacturing platform, the law of science and technology, and industrial ecosystem - smart production and intelligent precision manufacturing with digital decision, AI modeling, big data governance and kernel technologies (1/2), Ministry of Science and Technology, Taiwan, 2021/11/01~2022/10/31, NT$25,000,000
Principal Investigator, 工業型機械手臂之力量控制實現，Development of Force Control for Industrial Robot Manipulator, HIWIN TECHNOLOGIES CORP. , 2021/11/01~2022/12/31, NT$1,000,000
Co-Principal Investigator, 學門主題式計畫：結合自主飛行無人載具與人工智慧於精準農業病蟲害診斷與防治系統之技術研發與平台建置(1/3)，Thematic project-Technology development and platform construction of disease and pest diagnosis and treatment system for precision agricultural combined with autonomous-flying unmanned vehicles and artificial intelligence (1/3), Ministry of Science and Technology, Taiwan, 2021/08/01~2022/09/30, NT$3,000,000
Principal Investigator, 轉移學習於刀具磨耗狀態偵測之研究與硬體實現(2年期)，Transfer Learning for Tool Wear Estimation and Implementation, Ministry of Science and Technology, Taiwan, 2021/08/01~2023/07/31, NT$2,203,000
Principal Investigator, 110年度智慧機器人與製造應用AI系統開發專案計畫-3-DOF高順應性主動力量控制模組開發，3-DOF Flexible Initiative Force Control Mechanism , Industrial Technology Research Institute (ITRI), 2021/04/09~2021/11/30, NT$500,000
Principal Investigator, AI於智慧機台系統開發(4/4)，Development of Smart Machine Systems (4/4), Ministry of Science and Technology, Taiwan, 2021/01/01~2022/02/28, NT$12,000,000
Principal Investigator, 六軸串聯式機械手臂軟體控制器設計與外力估測之實現，The design of the software controller of the six-axis robot manipulator and the external force estimation, HIWIN TECHNOLOGIES CORP. , 2020/11/01~2021/10/31, NT$1,220,000
Co-Principal Investigator, 應用於航太精密製造之放電加工機智能產線與CPS系統整合技術研發--應用於航太精密製造之放電加工機智能產線與CPS系統整合技術研發(3/3)，Integrated Technology Development of Intelligent EDM Production Line and CPS System for Aviation Precision Manufacturing (3/3), Ministry of Science and Technology, Taiwan, 2020/11/01~2021/11/30, NT$7,250,000
Co-Principal Investigator, 五軸線馬車銑加工機前瞻核心技術精進(II)，Core Technology Enhancement of Linear Motor-Based 5-Axis Mill-Turn Machining Center (II), Ministry of Science and Technology, Taiwan, 2020/09/01~2021/06/30, NT$3,136,000
Co-Principal Investigator, 數據分析應用專案光箱移載機構螺桿故障預警，Data analysis application project-screw failure warning of optical box transfer mechanism, AU Optronics Corporation (AUO), 2020/05/01~2021/04/30, NT$900,000
Principal Investigator, 109年度精密零件加工邊緣運算專案計畫-工具機進給系統智慧診斷系統，Intelligent diagnosis system for machine tool feed system, Precision Machinery Research Development Center (PMC), Taiwan, 2020/03/01~2020/11/30, NT$500,000
Principal Investigator, AI於智慧機台系統開發(3/4)，Development of Smart Machine Systems (3/4), Ministry of Science and Technology, Taiwan, 2020/01/01~2021/02/28, NT$14,180,000
Co-Principal Investigator, 應用於航太精密製造之放電加工機智能產線與CPS系統整合技術研發--應用於航太精密製造之放電加工機智能產線與CPS系統整合技術研發(2/3)，Integrated Technology Development of Intelligent EDM Production Line and CPS System for Aviation Precision Manufacturing (2/3), Ministry of Science and Technology, Taiwan, 2019/12/01~2020/12/31, NT$7,000,000
Principal Investigator, Robot診斷技術開發，Diagnosis Technology Development of Robot Manipulator, Microprogram Information Co., Ltd, 2019/04/01~2019/11/30, NT$400,000
Principal Investigator, 用於預測SAP製程成品品質之機器學習方法，Prediction of SAP Product Quality using Machine Learning, Formosa Plastics Corporation, 2019/03/01~2019/07/31, NT$750,000
Principal Investigator, AI於智慧機台系統開發(2/4)，Development of Smart Machine Systems (2/4), Ministry of Science and Technology, Taiwan, 2019/01/01~2019/12/31 NT$15,700,000
Co-Principal Investigator, 應用於航太精密製造之放電加工機智能產線與CPS系統整合技術研發--應用於航太精密製造之放電加工機智能產線與CPS系統整合技術研發(1/3)， Integrated Technology Development of Intelligent EDM Production Line and CPS System for Aviation Precision Manufacturing (1/3), Ministry of Science and Technology, Taiwan, 2018/12/01~2020/02/29, NT$7,030,000
Principal Investigator, AI加工專家系統於工具機之整合應用，AI Intelligent Machining Systems in System Integration, GENTEC TECHNOLOGIES CO., LTD, 2018/09/01~2019/04/30, NT$400,000
Principal Investigator, 進給系統狀態模型建置，Diagnosis Technology of Machine Tool Feed Drive, Industrial Technology Research Institute (ITRI), 2018/04/01~2018/11/30, NT$354,217
Co-Principal Investigator, 智慧多軸複合製造技術研發-航太與醫療器械先進製程設備(3/3)，Smart multi-axis composite manufacturing technology research and development-advanced process equipment for aerospace and medical equipment (3/3), Ministry of Science and Technology, Taiwan, 2018/03/01~2019/02/28, NT$11,000,000
Principal Investigator, AI於智慧機台系統開發：Arvis專業助理、機台預診與精度維持(1/4)，Development of smart machine systems: Arivs Assistant, Machine Diagnosis, and Accuracy Maintenance (1/4), Ministry of Science and Technology, Taiwan, 2018/01/01~2019/02/28, NT$21,885,000
Principal Investigator, 產學合作計畫-使用類神經網路及優化演算法建置工具機加工專家系統，Using Neural Network and optimization to establish intelligent machining expert system, Ministry of Science and Technology, Taiwan/GENTEC TECHNOLOGIES CO., LTD 2017/06/01~2018/07/31, NT$588,000
Principal Investigator, 雷射自動追蹤三角測距系統控制與量測技術開發(1/3)，Development of control and measurement technology for laser automatic tracking triangulation ranging system (1/3), Ministry of Science and Technology, Taiwan, 2017/06/01~2018/07/31, NT$3,214,000
Co-Principal Investigator, 五軸線馬車銑加工機前瞻核心技術精進，Core Technology Enhancement of Linear Motor-Based 5-Axis Mill-Turn Machining Center, Ministry of Science and Technology, Taiwan, 2017/05/01~2020/04/30, NT$11,976,000
Co-Principal Investigator, 價創計畫：智慧機械之線上量測儀器與資訊智慧整合開發，Ministry of Science and Technology, Taiwan, 2017/05/01~2018/04/30, NT$40,000,000
Co-Principal Investigator, 智慧多軸複合製造技術研發-航太與醫療器械先進製程設備(2/3)，Smart multi-axis composite manufacturing technology research and development-advanced process equipment for aerospace and medical equipment (2/3), Ministry of Science and Technology, Taiwan, 2017/03/01~2018/05/31, NT$12,010,000
Principal Investigator, 五軸線性馬達工具機之智慧性控制器設計與實現，Intelligent Controller Design and Implementation of 5-axis Linear Motor Machine Tool, Ministry of Science and Technology, 2016/08/01~2018/03/31, NT$2,894,333
Co-Principal Investigator, 智慧多軸複合製造技術研發-航太與醫療器械先進製程設備(1/3)，Smart multi-axis composite manufacturing technology research and development-advanced process equipment for aerospace and medical equipment (1/3), Ministry of Science and Technology, Taiwan, 2016/03/01~2017/02/28, NT$10,000,000
Co-Principal Investigator, 基於改良型細菌覓食演算法理想車流密度規劃的高速公路入口匝道協調適應反覆學習控制器之研究，The Study of Coordinated Adaptive Iterative Learning Control for Freeway Multi-Ramp Metering Using Improved Bacterial Foraging Optimization based Desired Traffic Density Planning, Ministry of Science and Technology, Taiwan, 2015/08/01~2016/10/30, NT$364,000
Co-Principal Investigator, 混合加減法製造之智能化五軸複合加工機技術，Intelligent five-axis compound processing machine technology for hybrid addition and subtraction manufacturing, Ministry of Science and Technology, Taiwan, 2015/05/01~2016/06/30, NT$4,368,000
Co-Principal Investigator, 五軸線性馬達工具機的智慧型伺服調機與碰撞偵測加值軟體開發，Development of intelligent servo adjustment and collision detection value-added software for five-axis linear motor machine tools, Ministry of Science and Technology, Taiwan, 2014/11/01~2016/10/31, NT$6,918,000
Co-Principal Investigator, 產學合作計畫-五軸線性馬達工具機的智慧型伺服調機與碰撞偵測加值軟體開發(I)，Development of intelligent servo adjustment and collision detection value-added software for five-axis linear motor machine tools (I), Ministry of Science and Technology, Taiwan, 2013/11/01~2014/11/30 NT$3,055,000
Principal Investigator, 智慧型多軸機械手臂追蹤運動控制設計，Tracking motion control design of intelligent multi-axis robotic arm, Principal Investigator, Ministry of Science and Technology, Taiwan, 2013/08/01~2017/01/31, NT$2,093,000
Principal Investigator, 具吞噬作用之類免疫演算法設計：應用於模糊類神經系統學習與網路結構優化，Design of immune algorithm with phagocytosis: applied to fuzzy neural system learning and network structure optimization, Principal Investigator, Ministry of Science and Technology, Taiwan, 2013/08/01~ 2016/01/31, NT$1,014,000
Principal Investigator, 使用改良型蜂群演算法應用於多機器人之線上路徑規劃與實現，Application of improved bee colony algorithm to multi-robot online path planning and implementation, Principal Investigator, National Science Council, Taiwan, 2011/08/01~2013/10/31, NT$1,289,000
Principal Investigator, 多輸入多輸出非線性非仿射系統之智慧型控制器設計與實現，Intelligent Controller Design and Implementation for MIMO Nonlinear non-affine systems, National Science Council, Taiwan, 2008/08/01~2011/10/31, NT$3,244,000
Principal Investigator, 非線性TORA硬體建置及其基於干擾估測之智慧型適應控制機制設計與實現，Non-linear TORA hardware implementation and design and implementation of intelligent adaptive control mechanism based on interference estimation, National Science Council, Taiwan, 2008/08/01~2011/10/31, NT$1,380,000
Principal Investigator, 匿蹤(反輻射)目標訊跡分析技術研究，Research on Trace Analysis Technology of Concealed (Anti-radiation) Target (II), National Science Council, Taiwan, 2006/01/01~2006/12/31, NT$625,000
Principal Investigator, 匿蹤(反輻射)目標訊跡分析技術研究，Research on Trace Analysis Technology of Concealed (Anti-radiation) Target, National Science Council, Taiwan, 2005/01/01~2005/12/31, NT$695,000
Principal Investigator, 新型TS適應性模糊類神經網路分析、應用(系統辨識、控制、影像壓縮)及其實現(II)，Novel TS adaptive fuzzy neural network analysis, application (system identification, control, image compression) and its realization (II), National Science Council, Taiwan, 2005/08/01~2006/07/31, NT$329,000
Principal Investigator, 新型TS適應性模糊類神經網路分析、應用(系統辨識、控制、影像壓縮)及其實現(I)，Novel TS adaptive fuzzy neural network analysis, application (system identification, control, image compression) and its realization (I), National Science Council, Taiwan, 2004/08/01~2005/07/31, NT$450,300
Principal Investigator, 具穩健特性之非線性動態系統辨識與控制：使用第二型模糊類神經網路，Identification and control of nonlinear dynamic systems with robust characteristics: using type-2 of fuzzy neural network, National Science Council, Taiwan, 2003/08/01~2004/07/31, NT$405,100
Principal Investigator, 應用模糊類神經網路在二維數位濾波器設計，Application of fuzzy neural network in the design of two-dimensional digital filter, National Science Council, Taiwan, 2001/08/01~ 2002/07/31, NT$349,900Research Grants and Funding
Co-Principal Investigator, 聰明生產與智慧精準製造之數位決策、AI模型、大數據治理與核心技術之整合製造平台及其科技法律與產業生態系統(II) (2/2)，人工智慧(AI)專案(主題研究群計畫)，An integrated manufacturing platform, the law of science and technology, and industrial ecosystem - smart production and intelligent precision manufacturing with digital decision, AI modeling, big data governance and kernel technologies (II) (2/2), National Science and Technology Council, Taiwan, 2024/11/01~2025/10/31, NT$18,400,000
Principal Investigator, 智慧自行車功率踏板信號分析與優化服務委託案，Microprogram Information Co., Ltd, 2024/09/01~2025/08/31, NT$800,000
Principal Investigator, 晶圓機械手臂振動抑制研究與實現，HIWIN TECHNOLOGIES CORP. , 2024/08/01~2025/07/31, NT$1,200,000
Principal Investigator, 113年度工研院創新前瞻技術研究計畫(1/1)-超大行程機器人之通用軌跡規劃與校正系統開發，Development of a Universal Trajectory Planning and Calibration System for Large-Range Robot, Industrial Technology Research Institute (ITRI), 2024/08/01~2024/11/30, NT$1,000,000
Co-Principal Investigator, 應用於AMR彈性製造之工業機器人ChatBot開發-學門主題式計畫：應用於AMR彈性製造之工業機器人ChatBot開發(1/3) , National Science and Technology Council, Taiwan, 2024/08/01~2025/07/31, NT$4,500,000
Co-Principal Investigator, 聰明生產與智慧精準製造之數位決策、AI模型、大數據治理與核心技術之整合製造平台及其科技法律與產業生態系統(II) (1/2)，人工智慧(AI)專案(主題研究群計畫)，An integrated manufacturing platform, the law of science and technology, and industrial ecosystem - smart production and intelligent precision manufacturing with digital decision, AI modeling, big data governance and kernel technologies (II) (1/2), National Science and Technology Council, Taiwan, 2023/11/01~2024/10/31, NT$23,000,000
Co-Principal Investigator, 學門主題式計畫：結合自主飛行無人載具與人工智慧於精準農業病蟲害診斷與防治系統之技術研發與平台建置(3/3)，Thematic project-Technology development and platform construction of disease and pest diagnosis and treatment system for precision agricultural combined with autonomous-flying unmanned vehicles and artificial intelligence (3/3), National Science and Technology Council, Taiwan, 2023/08/01~2024/10/31, NT$6,000,000
Principal Investigator, 智動化外牆檢測飛行載具研製(2年期)，Intelligent Wall Inspection UAV Mechanism Design and Development, National Science and Technology Council, Taiwan, 2023/08/01~2025/07/31, NT$2,600,000
Principal Investigator, 機械手臂外力估測與控制模組，Industrial Technology Research Institute (ITRI), 2023/04/30~2023/11/15, NT$400,000
Principal Investigator, SMT產線智慧化參數調參功能與檢測技術開發計畫，Accton Technology Corporation, 2022/08/05~2023/12/31, NT$2,100,000
Co-Principal Investigator, 聰明生產與智慧精準製造之數位決策、AI模型、大數據治理與核心技術之整合製造平台及其科技法律與產業生態系統(2/2)，人工智慧(AI)專案(主題研究群計畫)，An integrated manufacturing platform, the law of science and technology, and industrial ecosystem - smart production and intelligent precision manufacturing with digital decision, AI modeling, big data governance and kernel technologies (2/2), National Science and Technology Council, Taiwan, 2022/11/01~2023/10/31, NT$23,000,000
Co-Principal Investigator, 學門主題式計畫：結合自主飛行無人載具與人工智慧於精準農業病蟲害診斷與防治系統之技術研發與平台建置(2/3)，Thematic project-Technology development and platform construction of disease and pest diagnosis and treatment system for precision agricultural combined with autonomous-flying unmanned vehicles and artificial intelligence (2/3), National Science and Technology Council, Taiwan, 2022/08/01~2023/09/30, NT$5,500,000
Principal Investigator, 機械手臂動態軌跡性能提升技術開發與驗證(3年期)，Dynamic Accuracy Performance Improvement of Industrial Robot Manipulator, Ministry of Science and Technology, Taiwan, 2022/08/01~2025/07/31, NT$4,566,000
Principal Investigator, 111年度智慧機器人與製造應用AI系統開發專案計畫-AI輔助研拋墊磨耗估測技術開發，Development of AI-assisted polishing pad wear estimation technology, Industrial Technology Research Institute (ITRI), 2022/04/01~2022/11/30, NT$400,000
Co-Principal Investigator, 聰明生產與智慧精準製造之數位決策、AI模型、大數據治理與核心技術之整合製造平台及其科技法律與產業生態系統(1/2)，人工智慧(AI)專案(主題研究群計畫)，An integrated manufacturing platform, the law of science and technology, and industrial ecosystem - smart production and intelligent precision manufacturing with digital decision, AI modeling, big data governance and kernel technologies (1/2), Ministry of Science and Technology, Taiwan, 2021/11/01~2022/10/31, NT$25,000,000
Principal Investigator, 工業型機械手臂之力量控制實現，Development of Force Control for Industrial Robot Manipulator, HIWIN TECHNOLOGIES CORP. , 2021/11/01~2022/12/31, NT$1,000,000
Co-Principal Investigator, 學門主題式計畫：結合自主飛行無人載具與人工智慧於精準農業病蟲害診斷與防治系統之技術研發與平台建置(1/3)，Thematic project-Technology development and platform construction of disease and pest diagnosis and treatment system for precision agricultural combined with autonomous-flying unmanned vehicles and artificial intelligence (1/3), Ministry of Science and Technology, Taiwan, 2021/08/01~2022/09/30, NT$3,000,000
Principal Investigator, 轉移學習於刀具磨耗狀態偵測之研究與硬體實現(2年期)，Transfer Learning for Tool Wear Estimation and Implementation, Ministry of Science and Technology, Taiwan, 2021/08/01~2023/07/31, NT$2,203,000
Principal Investigator, 110年度智慧機器人與製造應用AI系統開發專案計畫-3-DOF高順應性主動力量控制模組開發，3-DOF Flexible Initiative Force Control Mechanism , Industrial Technology Research Institute (ITRI), 2021/04/09~2021/11/30, NT$500,000
Principal Investigator, AI於智慧機台系統開發(4/4)，Development of Smart Machine Systems (4/4), Ministry of Science and Technology, Taiwan, 2021/01/01~2022/02/28, NT$12,000,000
Principal Investigator, 六軸串聯式機械手臂軟體控制器設計與外力估測之實現，The design of the software controller of the six-axis robot manipulator and the external force estimation, HIWIN TECHNOLOGIES CORP. , 2020/11/01~2021/10/31, NT$1,220,000
Co-Principal Investigator, 應用於航太精密製造之放電加工機智能產線與CPS系統整合技術研發--應用於航太精密製造之放電加工機智能產線與CPS系統整合技術研發(3/3)，Integrated Technology Development of Intelligent EDM Production Line and CPS System for Aviation Precision Manufacturing (3/3), Ministry of Science and Technology, Taiwan, 2020/11/01~2021/11/30, NT$7,250,000
Co-Principal Investigator, 五軸線馬車銑加工機前瞻核心技術精進(II)，Core Technology Enhancement of Linear Motor-Based 5-Axis Mill-Turn Machining Center (II), Ministry of Science and Technology, Taiwan, 2020/09/01~2021/06/30, NT$3,136,000
Co-Principal Investigator, 數據分析應用專案光箱移載機構螺桿故障預警，Data analysis application project-screw failure warning of optical box transfer mechanism, AU Optronics Corporation (AUO), 2020/05/01~2021/04/30, NT$900,000
Principal Investigator, 109年度精密零件加工邊緣運算專案計畫-工具機進給系統智慧診斷系統，Intelligent diagnosis system for machine tool feed system, Precision Machinery Research Development Center (PMC), Taiwan, 2020/03/01~2020/11/30, NT$500,000
Principal Investigator, AI於智慧機台系統開發(3/4)，Development of Smart Machine Systems (3/4), Ministry of Science and Technology, Taiwan, 2020/01/01~2021/02/28, NT$14,180,000
Co-Principal Investigator, 應用於航太精密製造之放電加工機智能產線與CPS系統整合技術研發--應用於航太精密製造之放電加工機智能產線與CPS系統整合技術研發(2/3)，Integrated Technology Development of Intelligent EDM Production Line and CPS System for Aviation Precision Manufacturing (2/3), Ministry of Science and Technology, Taiwan, 2019/12/01~2020/12/31, NT$7,000,000
Principal Investigator, Robot診斷技術開發，Diagnosis Technology Development of Robot Manipulator, Microprogram Information Co., Ltd, 2019/04/01~2019/11/30, NT$400,000
Principal Investigator, 用於預測SAP製程成品品質之機器學習方法，Prediction of SAP Product Quality using Machine Learning, Formosa Plastics Corporation, 2019/03/01~2019/07/31, NT$750,000
Principal Investigator, AI於智慧機台系統開發(2/4)，Development of Smart Machine Systems (2/4), Ministry of Science and Technology, Taiwan, 2019/01/01~2019/12/31 NT$15,700,000
Co-Principal Investigator, 應用於航太精密製造之放電加工機智能產線與CPS系統整合技術研發--應用於航太精密製造之放電加工機智能產線與CPS系統整合技術研發(1/3)， Integrated Technology Development of Intelligent EDM Production Line and CPS System for Aviation Precision Manufacturing (1/3), Ministry of Science and Technology, Taiwan, 2018/12/01~2020/02/29, NT$7,030,000
Principal Investigator, AI加工專家系統於工具機之整合應用，AI Intelligent Machining Systems in System Integration, GENTEC TECHNOLOGIES CO., LTD, 2018/09/01~2019/04/30, NT$400,000
Principal Investigator, 進給系統狀態模型建置，Diagnosis Technology of Machine Tool Feed Drive, Industrial Technology Research Institute (ITRI), 2018/04/01~2018/11/30, NT$354,217
Co-Principal Investigator, 智慧多軸複合製造技術研發-航太與醫療器械先進製程設備(3/3)，Smart multi-axis composite manufacturing technology research and development-advanced process equipment for aerospace and medical equipment (3/3), Ministry of Science and Technology, Taiwan, 2018/03/01~2019/02/28, NT$11,000,000
Principal Investigator, AI於智慧機台系統開發：Arvis專業助理、機台預診與精度維持(1/4)，Development of smart machine systems: Arivs Assistant, Machine Diagnosis, and Accuracy Maintenance (1/4), Ministry of Science and Technology, Taiwan, 2018/01/01~2019/02/28, NT$21,885,000
Principal Investigator, 產學合作計畫-使用類神經網路及優化演算法建置工具機加工專家系統，Using Neural Network and optimization to establish intelligent machining expert system, Ministry of Science and Technology, Taiwan/GENTEC TECHNOLOGIES CO., LTD 2017/06/01~2018/07/31, NT$588,000
Principal Investigator, 雷射自動追蹤三角測距系統控制與量測技術開發(1/3)，Development of control and measurement technology for laser automatic tracking triangulation ranging system (1/3), Ministry of Science and Technology, Taiwan, 2017/06/01~2018/07/31, NT$3,214,000
Co-Principal Investigator, 五軸線馬車銑加工機前瞻核心技術精進，Core Technology Enhancement of Linear Motor-Based 5-Axis Mill-Turn Machining Center, Ministry of Science and Technology, Taiwan, 2017/05/01~2020/04/30, NT$11,976,000
Co-Principal Investigator, 價創計畫：智慧機械之線上量測儀器與資訊智慧整合開發，Ministry of Science and Technology, Taiwan, 2017/05/01~2018/04/30, NT$40,000,000
Co-Principal Investigator, 智慧多軸複合製造技術研發-航太與醫療器械先進製程設備(2/3)，Smart multi-axis composite manufacturing technology research and development-advanced process equipment for aerospace and medical equipment (2/3), Ministry of Science and Technology, Taiwan, 2017/03/01~2018/05/31, NT$12,010,000
Principal Investigator, 五軸線性馬達工具機之智慧性控制器設計與實現，Intelligent Controller Design and Implementation of 5-axis Linear Motor Machine Tool, Ministry of Science and Technology, 2016/08/01~2018/03/31, NT$2,894,333
Co-Principal Investigator, 智慧多軸複合製造技術研發-航太與醫療器械先進製程設備(1/3)，Smart multi-axis composite manufacturing technology research and development-advanced process equipment for aerospace and medical equipment (1/3), Ministry of Science and Technology, Taiwan, 2016/03/01~2017/02/28, NT$10,000,000
Co-Principal Investigator, 基於改良型細菌覓食演算法理想車流密度規劃的高速公路入口匝道協調適應反覆學習控制器之研究，The Study of Coordinated Adaptive Iterative Learning Control for Freeway Multi-Ramp Metering Using Improved Bacterial Foraging Optimization based Desired Traffic Density Planning, Ministry of Science and Technology, Taiwan, 2015/08/01~2016/10/30, NT$364,000
Co-Principal Investigator, 混合加減法製造之智能化五軸複合加工機技術，Intelligent five-axis compound processing machine technology for hybrid addition and subtraction manufacturing, Ministry of Science and Technology, Taiwan, 2015/05/01~2016/06/30, NT$4,368,000
Co-Principal Investigator, 五軸線性馬達工具機的智慧型伺服調機與碰撞偵測加值軟體開發，Development of intelligent servo adjustment and collision detection value-added software for five-axis linear motor machine tools, Ministry of Science and Technology, Taiwan, 2014/11/01~2016/10/31, NT$6,918,000
Co-Principal Investigator, 產學合作計畫-五軸線性馬達工具機的智慧型伺服調機與碰撞偵測加值軟體開發(I)，Development of intelligent servo adjustment and collision detection value-added software for five-axis linear motor machine tools (I), Ministry of Science and Technology, Taiwan, 2013/11/01~2014/11/30 NT$3,055,000
Principal Investigator, 智慧型多軸機械手臂追蹤運動控制設計，Tracking motion control design of intelligent multi-axis robotic arm, Principal Investigator, Ministry of Science and Technology, Taiwan, 2013/08/01~2017/01/31, NT$2,093,000
Principal Investigator, 具吞噬作用之類免疫演算法設計：應用於模糊類神經系統學習與網路結構優化，Design of immune algorithm with phagocytosis: applied to fuzzy neural system learning and network structure optimization, Principal Investigator, Ministry of Science and Technology, Taiwan, 2013/08/01~ 2016/01/31, NT$1,014,000
Principal Investigator, 使用改良型蜂群演算法應用於多機器人之線上路徑規劃與實現，Application of improved bee colony algorithm to multi-robot online path planning and implementation, Principal Investigator, National Science Council, Taiwan, 2011/08/01~2013/10/31, NT$1,289,000
Principal Investigator, 多輸入多輸出非線性非仿射系統之智慧型控制器設計與實現，Intelligent Controller Design and Implementation for MIMO Nonlinear non-affine systems, National Science Council, Taiwan, 2008/08/01~2011/10/31, NT$3,244,000
Principal Investigator, 非線性TORA硬體建置及其基於干擾估測之智慧型適應控制機制設計與實現，Non-linear TORA hardware implementation and design and implementation of intelligent adaptive control mechanism based on interference estimation, National Science Council, Taiwan, 2008/08/01~2011/10/31, NT$1,380,000
Principal Investigator, 匿蹤(反輻射)目標訊跡分析技術研究，Research on Trace Analysis Technology of Concealed (Anti-radiation) Target (II), National Science Council, Taiwan, 2006/01/01~2006/12/31, NT$625,000
Principal Investigator, 匿蹤(反輻射)目標訊跡分析技術研究，Research on Trace Analysis Technology of Concealed (Anti-radiation) Target, National Science Council, Taiwan, 2005/01/01~2005/12/31, NT$695,000
Principal Investigator, 新型TS適應性模糊類神經網路分析、應用(系統辨識、控制、影像壓縮)及其實現(II)，Novel TS adaptive fuzzy neural network analysis, application (system identification, control, image compression) and its realization (II), National Science Council, Taiwan, 2005/08/01~2006/07/31, NT$329,000
Principal Investigator, 新型TS適應性模糊類神經網路分析、應用(系統辨識、控制、影像壓縮)及其實現(I)，Novel TS adaptive fuzzy neural network analysis, application (system identification, control, image compression) and its realization (I), National Science Council, Taiwan, 2004/08/01~2005/07/31, NT$450,300
Principal Investigator, 具穩健特性之非線性動態系統辨識與控制：使用第二型模糊類神經網路，Identification and control of nonlinear dynamic systems with robust characteristics: using type-2 of fuzzy neural network, National Science Council, Taiwan, 2003/08/01~2004/07/31, NT$405,100
Principal Investigator, 應用模糊類神經網路在二維數位濾波器設計，Application of fuzzy neural network in the design of two-dimensional digital filter, National Science Council, Taiwan, 2001/08/01~ 2002/07/31, NT$349,900
