李慶鴻 教授 (Prof. Ching-Hung Lee) 

    研究室 :  機械館四樓 R417

04-22840433 ext. 417

04-22877170

E-mail *

chleenchu@dragon.nchu.edu.tw

實驗室

智慧型控制及應用實驗室

(Intelligent Control and Applications Lab.)

用科技大樓四樓  R417

 

± 

/肄業學校

國別

主修學門系所

學位

起訖年月

國立交通大學

中華民國

電機與控制工程學系

博士

1994/92000/4

±與專長相關之經歷

服務機關

服務部門系所

職稱

國立中興大學

機械工程學系(所)

教授 (2014/08~ )

國立中興大學

機械工程學系(所)

副教授 (2012/02~2014/07)

元智大學

電機工程學系(所)

副教授 (2005/02~2012/01)

元智大學

電機工程學系(所)

助理教授(2001/8~2005/1)

龍華科技大學

電子工程系

助理教授(2000/8~2001/7)

±

智慧型控制 機械手臂控制 模糊類神經系統

工具機伺服控制

非線性控制

演化理論與計算

±

  1. 智慧型系統設計 (Design of Intelligent Systems)
  2. 機械手臂控制 (Control of Robot Manipulator)
  3. 工具機伺服控制 (Servo Control Design of Machine Tool)
  4. 工具機智能化設計 (Intelligent Machine Tools Design)
  5. 非線性控制 (Nonlinear Control)
  6. 演化演算法 (Evolutionary Algorithm)

 

 

 

 

 

 

 

 

 

±教授課程

大學部

 電機機械、自動控制、機械工程實驗(II)

研究所

 模糊控制、類神經網路及其應用、CNC伺服控制導論 、智慧型控制及設計

 

 

 

±曾獲重要獎項

1.  2017 旭泰科技論文獎佳作 研究生: 林建佑&李格非 (201709)

2.     105年度中華民國自動控制學會 傑出自動控制工程獎(2016/11)

3.     105年度中華民國模糊學會最佳碩士論文獎- 學生詹宗育(2016/11)

4.     2016 iFUZZY Best Student Paper Award- Third Prize (碩士生-詹宗育) (2016/11)

5.     104年科技部控制學門 最佳海報獎 (2016/11)

6.     2016CNC國產控制器團隊競賽 決賽獲獎

7.     榮獲國科會2013年優秀年輕學者研究計畫 (2013/8/1~2016/7/31)

8.      IEEE Senior Member, (2013/7~)

9.     國立中興大學工學院傑出教學獎 (2013/7)

10.    國立中興大學工學院優良導師獎 (2013/7, 2016/7)

11.    97年度國科會吳大猷先生紀念獎 (2008/7)

12.    98學年 中華民國自動控制學會「青年自動控制工程獎」(2009/11)

13.  元智大學研究傑出獎、教學傑出獎、服務暨輔導傑出獎

 

 

 

研究計劃

計劃名稱

擔任工作

起訖年月

輔助機構

雷射自動追蹤三角測距系統控制與量測技術開發(科技部專案計畫) 主持人 2017/06/012018/05/31 科技部
使用類神經網路及優化演算法建置工具機加工專家系統(產學) 主持人 2017/06/012018/05/31 科技部

五軸線馬車銑加工機前瞻核心技術精進(科技部專案計畫)

共同主持人

2017/05/012020/04/30

科技部

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)(106-2218-E-005-003-) 共同主持人

2016/03/012019/02/28

科技部

五軸線性馬達工具機之智慧性控制器設計與實現(105-2221-E-005-049-MY3)

主持人

2016/08/012019/07/31 科技部
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(科技部專案計畫) 共同主持人 2016/03/012017/02/28 科技部

智慧型多軸機械手臂追蹤運動控制設計(多年期計畫)優秀年輕學者研究計畫

主持人

2013/08/012016/07/31

科技部

混合加減法製造之智能化五軸複合加工機技術(科技部專案計畫-先進製造技術:前瞻跨領域先期計畫)

共同主持人

2015/05/012016/03/31

科技部

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(多年期計畫)(科技部專案計畫-工具機控制系統自主化前瞻技術與加值軟體研發專案計畫)

共同主持人

2014/11/12016/10/31

科技部

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)(產學合作)(科技部專案計畫-工具機控制系統自主化前瞻技術與加值軟體研發專案計畫)

共同主持人

2013/11/12014/10/31

科技部

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(多年期計畫)

主持人

2013/8/12015/07/31

科技部

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 (多年期計畫)

主持人

2011/8/1~2013/7/31

國科會

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 (多年期計畫)

主持人

2008/8/1~2011/7/31

國科會

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(多年期計畫)

主持人

2006/8/1 2008/7/31

國科會

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)

主持人

2005/8/1~2006/7/31

國科會

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)

主持人

2004/8/1~2005/7/31

國科會

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

主持人

2003/8/1~2004/7/31

國科會

應用遞迴式模糊類神經網路RFNN設計無限通訊系統下之交遞程序

主持人

2002/08~2003/07

國科會

應用模糊類神經網路在二維數位濾波器設計

主持人

2001/08~2002/07

國科會

應用類神經網路建構物件分類系統

主持人

2010/7/1~2010/6/30

台達電子

 

 

論文發表 (Publications)

I.    Journal paper (期刊論文)

1.  H. W. Chiu and C. H. Lee, “Prediction of Machining Accuracy and Surface Quality for CNC Machine Tools Using Data Driven Approach,”  Accepted to appear in Advance in Engineering Software, July 2017. (SCI)

2.  C. Y. Lin and C. H. Lee, “Remote Servo Tuning System for Multi-Axis CNC Machine Tools Using Virtual Machine Tool Approach,” Accepted to appear in Applied Sciences, July 2017. (SCI)

3.  J. Y. Jang and C. H. Lee, “Adaptive Impedance Force Controller Design for Robot Manipulator including Actuator Dynamics,” Accepted to appear in Int. J. of Fuzzy Systems, July 2017 (SCIE).

4.  C. W. Lee and C. H. Lee, “Real-Time Collision-Free Mechanism of Five-Axis Machining Systems Based on Dynamic Trajectory Prediction,” Journal of the Chinese Society of Mechanical Engineers, May 2017 (SCI).  IF=0.13, 127/132

5.  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,” Int. J. of Fuzzy Systems, 2016 (SCI).  IF-0.941, 42/59

6.  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, March 2016. (SCI)  IF-0.298, 78/85

7.  C. H. Lee and W. C. Wang, “Robust Adaptive Position and Force Controller Design of Robot Manipulator Using Fuzzy Neural Networks,” Nonlinear Dynamics, Feb. 2016. (SCI IF=3.0, 8/135)

8.  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,” accepted to appear in Int. J. of Fuzzy Systems, Jan. 2016. (SCI, IF=0.941, Ranking=42/59)

9.  M. T. Huang, C. H. Lee, and C. M. Lin, “Blind Source Separation with Adaptive Learning Rates for Image Encryption,” Journal of Intelligent and Fuzzy Systems, Vol. 30, pp. 451-460, 2016. (SCI IF:1.004, 86/130) 

10.  J. H. Liang and C. H. Lee, “A Modification Artificial Bee Colony Algorithm for Optimization Problems,” Mathematical Problems in Engineering, Feb. 2015. (SCI, IF=1.082, Ranking=33/87)

11.  J. H. Liang and C. H. Lee, “Efficient Collision-free Path-planning of Multiple Mobile Robots System Using Efficient Artificial Bee Colony Algorithm,” Advance in Engineering Software, Vol. 79, pp. 47-56, 2015. (SCI, IF=1.422, Ranking=28/105)

12.  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, Vol. 3, No. 1, pp. 21-34, 2015.

13.  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,” Int. Journal of Fuzzy Systems, Vol. 16, No. 4, pp. 577-590, 2014. (SCI, IF=1.031, Ranking=38/59)

14.  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,” Int. Journal of Fuzzy Systems, Vol. 16, No. 3, pp. 411-421, 2014. (SCI, IF=1.031, Ranking=38/59)

15.  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, April 2014. (SCI, IF=1.082, Ranking=33/87)

16.  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,” Journal Acta Polytechnica Hungarica, Vol. 11, No. 1, 37-48, 2014. (SCI, IF=0.471, Ranking=67/87)

17.  C. H. Lee, F. Y. Chang, and C. M. Lin, “DSP-based Optical Character Recognition System Using Interval Type-2 Neural Fuzzy System,” Int. J. of Fuzzy Systems, Vol. 16, No. 1, pp. 86-96, 2014 . (SCI, IF=1.031, Ranking=38/59)

18.  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 Trans. Cybernetics, Vol. 44, No. 3, pp. 329-341 2014. (SCI, IF=3.781, Ranking=1/24)

19.  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 and Applications, Vol. 24, No. 5, pp.1034-1045, 2014. (SCI, IF=1.763, Ranking=40/121)

20.  C. H. Lee and W. Y. Lai, “Nonlinear Control of Benchmark Problems Using TSK-Type Fuzzy Neural System,” Neural Computing and Applications, Vol. 23, No.1, pp. 83-94, 2013. (SCI, IF=1.763, Ranking=40/121)

21.  C. H. Lee and H. Y. Hsieh, “Observer-based Adaptive Control for a Class of Nonlinear Non-affine Systems Using Dynamic Fuzzy Systems,” Int. J. of Fuzzy Systems, Vol. 15, No.1, pp. 55-65, 2013. (SCI, IF=1.031, Ranking=38/59)

22.  C. H. Lee and F. Y. Chang, “On-line Adaptive Interval Type-2 Fuzzy Controller Design via Stable SPSA Learning Mechanism,” Int. J. of Fuzzy Systems, Vol. 14, No. 4, pp. 489-500,  2012.  (SCI, IF=1.031, Ranking=38/59)

23.  C. H. Lee, H. Y. Liu, and J. K. Lee, “基於函數鏈結類神經網路之智慧型字元辨識系統設計與實現 ,”興大工程學刊, 2012.

24.  C. H. Lee, C. T. Kuo, and H. H. Chang, “Performance Enhancement of Differential Evolution Algorithm Using Local Search and Self-adaptive Scaling Factor,” Int. Journal of Innovative Computing, Information and Control, Vol. 8, No. 4, pp. 2665-2679, 2012 (SCI).

25.  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, Vol. 186, No. 1, pp. 59-81, 2012. (SCI, IF=3.893, Ranking=8/135)

26.  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,” Int. Journal of Systems Science, Vol. 43, No. 2, pp. 231-247, 2012. (SCI, IF=1.579, Ranking=24/102)

27.  C. H. Lee and S. K. Chang, “Experimental Implementation of Nonlinear TORA System and Robust Adaptive Backstepping Controller Design,” Neural Computing and Applications, Vol. 21, No. 4, pp. 785-800, 2012. (SCI, IF=1.763, Ranking=40/121)

28.  C. H. Lee and B. R. Chung, “Adaptive Backstepping Controller Design for Nonlinear Uncertain Systems Using Fuzzy Neural Systems,” Int. Journal of Systems Science, Vol. 43, No. 10, pp. 1855-1869, 2012. (SCI, IF=1.579, Ranking=24/102)

29.  C. H. Lee and L. J. Kau, “Enhancing the Predictive Coding Efficiency with Control Technologies for Lossless Compression of Images,” IET Image Processing, Vol. 6, No. 3, pp. 251-263, 2012. (SCI, IF=0.676, Ranking=180/248)

30.  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” Int. Journal of Computational Intelligence in Control (IJCIC).  (invited by Guest Editor).

31.  C. H. Lee and Y. H. Lee, “Nonlinear System Identification Using Takagi-Sugeno-Kang Type Interval-valued Fuzzy Systems via Stable Learning Mechanism,” IAENG Int. Journal of Computer Science, Vol. 38, Issue 3, pp. 249-259, 2011. (Good Paper collection of IMECS for special issue of IMECS 2011)

32.  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. (SCI, IF=1.082, Ranking=33/87)

33.  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. (SCI, IF=1.082, Ranking=33/87)

34.  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, Vol. 171, No.1, pp. 22-43, 2011. (SCI, IF=1.880, Ranking=20/251)

35.  C. H. Lee, F. K. Chang, and Y. C Lee, “An Improved Electromagnetism-like Algorithm for Recurrent Neural Fuzzy Controller Design,” Int. Journal of Fuzzy Systems, Vol. 12, No. 4, pp. 280-290, 2010. (Good paper collection for National Conference on Fuzzy Theory and Its Applications) (SCI, IF=1.031, Ranking=38/59)

36.  C. H. Lee and F. K. Chang, “Fractional-order PID Controller Optimization via Improved Electromagnetism-like Algorithm,” Expert Systems with Applications, Vol. 37, No. 12, pp. 8871-8878, 2010. (SCI, IF=1.965, Ranking=30/121)

37.  C. H. Lee, Y. C. Lee, and F. Y. Chang, “A Dynamic Fuzzy Neural System Design via Hybridization of EM and PSO Algorithms,” IAENG Int. Journal of Computer Science, Vol. 37, No. 3, IJCS-37-3-06, 2010. (EI)

38.  C. H. Lee, B. R. Chung, J. C. Chien, “Robust Adaptive Backstepping Controller for a Class of Nonlinear Cascade Systems via Fuzzy Neural Networks,” Int. Journal of Computational Intelligence in Control, Vol. 2, No. 1, 2010 (invited by Editor in Chief).

39.  C. H. Lee and H. T. Cheng, “Identification and Fuzzy Controller Design for Nonlinear Uncertain Systems with Input Time-Delay,” Int. Journal of Fuzzy Systems, Vol. 11, No. 2, pp. 73-86, 2009. (SCI, IF=1.031, Ranking=38/59)

40.  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, Vol. 17, No. 2, pp. 73-82, 2009.

41.  C. H. Lee and M. H. Chiu, “Recurrent Neuro-fuzzy Control Design for Tracking of Mobile Robots via Hybrid Algorithm,” Expert Systems with Applications, Vol. 36, No. 5, pp. 8993-8999, July 2009. (SCI, IF=1.965, Ranking=30/121)

42.  C. H. Lee and H. Y. Pang, “Performance Enhancement for Neural Fuzzy Systems Using Asymmetric Membership Functions,” Fuzzy Sets and Systems, Vol. 160, No. 7, pp. 949-971, 2009. (SCI, IF=1.880, Ranking=20/251)

43.  C. H. Lee and B. H. Wang, “Adaptive Supervisory WCMAC Neural Network Controller (SWC) for Nonlinear Systems,” Soft Computing, Vol. 13, NO. 1, pp. 1-12, 2009. (SCI, IF=1.304, Ranking=59/121)

44.  C. H. Lee and F. K. Chang, “Recurrent Fuzzy Neural Controller Design for Nonlinear Systems Using Electromagnetism-like Algorithm,” Far East J. of Experimental and Theoretical Artificial Intelligence, Vol. 1. No. 1, pp. 5-22, 2008.

45.  C. H. Lee and Y. C. Lin, “Type-2 Fuzzy Neuro System via Input-to-state-stability Approach,” Lecture Notes in Computer Science, Vol. 4492, pp. 317-327, 2007. (EI)

46.  C. H. Lee and M. H. Chiu, “Adaptive Nonlinear Control Using TSK-type Recurrent Fuzzy Neural Network System,” Lecture Notes in Computer Science, Vol. 4491, pp. 38-44, 2007. (EI)

47.  C. H. Lee and Y. C. Lin, “System Identification and Adaptive Filter Using a Novel Fuzzy Neuro System,” Int. J. of Comp. Cog., Vol. 5, no. 1, pp. 1-12, 2007.

48.  C. H. Lee and B. R. Chung, “FNN-based Disturbance Observer Controller Design for Nonlinear Uncertain Systems,” WSEAS Trans. on Systems and Control, Vol. 2, No. 3, pp. 255-260, (invited paper) 2007. (EI)

49.  C. H. Lee and B. H. Wang, “Adaptive Wavelet-based-CMAC Network Predictor Design for Lossless Image Coding,” Int. Journal of Engineering Letters, Vol. 15, No. 1, pp. 119-125, 2007.

50.  C. H. Lee, “Fuzzy Fourier System for Function Mapping,” The Journal of Fuzzy Mathematics, Vol. 12, No. 3, pp. 1059-1070, 2005.

51.  C. H. Lee and C. J. Yu, “An Intelligent Handoff Algorithm for Wireless Communication Systems Using Grey Prediction and Fuzzy Decision System,” Int. Journal of Electrical Engineering, No.1, 2005.

52.  C. H. Lee and Y. C. Lin, “An Adaptive Type-2 Fuzzy Neural Controller for Nonlinear Uncertain Systems,” Int. Journal of Control and Intelligent Systems, Vol. 33, No. 1, pp. 13 - 25, 2005. (EI)

53.  C. H. Lee and Y. C. Lin, “An Adaptive Filter Design via Periodic Fuzzy Neural Network,” Signal Processing, Vol. 85, No. 1, pp. 401-411, 2005. (SCI, IF=2.238, Ranking=51/248)

54.  C. H. Lee, “Stabilization of nonlinear nonminimum phase systems: Adaptive parallel approach using recurrent fuzzy neural network,” IEEE Trans. on Systems, Man, Cybernetics- Part: B, (Full Paper), Vol. 34, No. 2, pp. 1075-1088, 2004. (SCI, IF=3.781, Ranking=1/24)

55.  C. H. Lee, “A Survey of PID Controller Design Based on Gain and Phase Margins,” Int. Journal Computational Cognition, (Invited paper), Vol. 2, No. 3, pp. 63-100, 2004.

56.  C. H. Lee, “Low Order Robust Controller Design for Preserving  Performance: Genetic Algorithm Approach,” ISA Transactions, Vol. 43, No. 4, pp. 539-547, 2004. (SCI, IF=2.256, Ranking=11/87)

57.  C. H. Lee and C. C. Teng, “Calculation of PID Controller parameters by using Fuzzy Neural Network,” ISA Transactions, Vol. 42, No. 3, pp. 391-400, 2003. (SCI, IF=2.256, Ranking=11/87)

58.  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, Vol. E86-A, No. 7, pp. 1766-1777, 2003. (SCI, IF=0.226, Ranking=234/248)

59.  C. H. Lee, J. L. Hong, Y. C. Lin, and W. Y. Lai, “Type-2 Fuzzy Neural Network Systems and Learning,” Int. Journal of Computational Cognition, Vol. 1, No. 4, pp. 79-90, 2003.

60.  C. H. Lee and C. C. Teng, “Tuning PID Controller of Unstable Processes: A Fuzzy Neural Network Approach,” Fuzzy Sets and Systems, Vol. 128, No.1, pp. 95-106, 2002. (SCI, IF=1.880, Ranking=20/251)

61.  C. H. Lee, Y. H. Lee, and C. C. Teng, “A Novel Robust PID Controllers Design by Fuzzy Neural Network,” Asian Journal of Control, Vol. 4, No. 4, pp. 433-438, 2002. (SCI, IF=1.414, Ranking=23/59)

62.  C. H. Lee and C. C. Teng, “Control of a Nonlinear Dynamic System via Adaptive Saturation PID Control Scheme,” Int. Journal of Fuzzy Systems, Vol. 4, No. 4, pp. 922-927, 2002. (SCI, IF=1.031, Ranking=38/59)

63.  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, Vol. E84-A, No. 9, pp.2288-2295, 2001. (SCI, IF=0.226, Ranking=234/248)

64.  C. H. Lee and C. C. Teng, “Fine Tuning of Membership Functions for Fuzzy Neural Systems,” Asian Journal of Control, Vol. 3, No. 3, pp. 216-225, 2001. (SCI, IF=1.414, Ranking=23/59)

65.  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 Trans. on Control Systems and Technology (Full Paper), Vol. 9, No. 2, pp. 305-318, 2001 (SCI, IF=2.521, Ranking=10/59) (Cited #=145, Google scholar=260)

66.  C. H. Lee and C. C. Teng, “Tuning of PID Controller for Stable and Unstable Processes with Specifications on Gain and Phase Margins,” Int. Journal of Fuzzy Systems, Vol. 3, No.1, pp.346-355, 2001. (SCI, IF=1.031, Ranking=38/59)

67.  Ching-Hung Lee and C. C. Teng, “Identification and Control of Dynamic Systems Using Recurrent Fuzzy Neural Networks,” IEEE Trans. on Fuzzy Systems, (Full Paper), Vol. 8, No. 4, pp. 349-366, August 2000. (SCI, IF=6.303, Ranking=3/248) (Cited #=311, Google scholar=503)

68.  C. H. Lee and C. C. Teng, “Approximation of Periodic Function Using a Modified Fuzzy Neural Network,” Int. Journal of Fuzzy Systems, Vol. 2, No. 3, pp. 176-182, 2000. (SCI, IF=1.031, Ranking=38/59)

69.  C. H. Lee and C. C. Teng, “Identification and Control of Hammerstein Systems Using a Fuzzy Neural Network,” Journal of Signal Processing, Vol. 4, No. 2, pp. 149-157, 2000.

 

II.   Conference paper (研討會論文)

1.     

1.     C. Y. Chiang and C. H. Lee, “Adaptive Force Controller Design and Implementation for Robot Manipulator with Uncertainty and Friction,” accepted to present on iFUZZY 2017.

2.     C. H. Chu and C. H. Lee, “Adaptive Force Tracking Control of Redundant Robot Manipulator for Task-space,” accepted to present on CACS 2017.

3.     W. C. Wang and C. H. Lee, “Adaptive Force Control for n-link Robot Manipulator,” 2017 National Conference on Advanced Robotics (NCAR 2017).

4.     C. Y. Lin and C. H. Lee, “Intelligent Technique for CNC Servo Tuning Based on Particle Swarm Optimization” NSSSE 2017, Taipei, 2017.

5.      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) 

6.     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.

7.     J. Y. Jang and C. H. Lee, “Fuzzy Neural Systems Based Adaptive Impedance Force Controller Design for Robot Manipulator,” iFUZZY 2016, Taichung, Nov. 9-11, 2016.

8.     H. W. Chiu, B. F. Yu, C. H. Lee, and J. S. Chen, “CNC Controller Parameters Optimization Using Data-Driven Approach,” iFUZZY 2016, Taichung, Nov. 9-11, 2016.

9.     Y. C. Tsai and C. H. Lee, “使用基因遺傳演算法設計強健型二維IIR濾波器,” 2015創新發明應用研討會.

10.  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).

11.  P. Y. Chung and C. H. Lee, “Modified Particle Swarm Optimization Algorithm for Cross-coupled Controller Design,” accepted for presentation at the iFUZZY2015.

12.  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.

13.  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.

14.  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.

15.  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.

16.       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.

17.       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.

18.       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.

19.       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.

20.       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.

21.       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.

22.       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.

23.       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.

24.       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.

25.       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.

26.       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.

27.       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.

28.       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,” accepted to present in FUZZ IEEE 2011, Taipei, Taiwan, June 27~30, 2011.

29.       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.

30.       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.

31.       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.

24.     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.

25.     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.

26.     邱信瑋,李慶鴻, “利用風力發電機參數估測功率輸出:使用模糊類神經網路,” 2010台灣風能學術研討會, 台灣, 澎湖, Dec. 2010.

27.     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.

28.     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). Received the invitation for submission of SICE Journal of Control, Measurement, and System Integration.

29.     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.

30.     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.

31.     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.

32.     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.

33.     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.

34.     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.

35.     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.

36.     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).

37.     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).

38.     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.

39.     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.

40.     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)

41.     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.

42.     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. 榮獲2008年中華民國第十六屆模糊學會最佳論文獎佳作

43.     李崇達、李慶鴻, “第二型模糊類神經網路結合支持向量機之應用,” 2008 The 16th Conference on Fuzzy Theory and Its Applications, Taoyuan, Dec. 20, 2008.

44.     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.

45.     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.

46.     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).

47.     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.

48.     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.

49.     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.

50.     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.

51.     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.

52.     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.

53.     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.

54.     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.

55.     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.

56.     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.

57.     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.

58.     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.

59.     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.

60.     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.

61.     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.

62.     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.

63.     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.

64.     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.

65.     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.

66.     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.

67.     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.

68.     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.

69.     H. Y. Pan and C. H. Lee, “Decoupled Adaptive Fuzzy Controller Design for Nonlinear Benchmark Problem,” 2005 R.O.C. Automatic Control Conference, Tainan.

70.     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.

71.     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.

72.     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. 榮獲2004年中華民國模糊學會碩士論文獎第一名

73.     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.

74.     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.

75.     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.

76.     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.

77.     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.

78.     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.

79.     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.

80.     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.

81.     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.

82.     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.

83.     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.

84.     C. H. Lee, “Type-2 Fuzzy Neural Network System and Learning,” 2003 R.O.C. Automatic Control Conf., March 2003.

85.     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.

86.     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).

87.     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.

88.     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.

89.     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.

90.     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.

91.     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.

92.     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.

93.     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.

94.     C. H. Lee and C. C.  Teng, “A Fuzzy Neural Network Based Formula for Tuning the PID Controllers,” 2001 中華民國自動控制研討會pp. 278-283, 桃園,2001

95.     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.

96.     C. H. Lee and C. C. Teng, “Fuzzy Rules Reduction by Adaptive Membership Functions,” 2000中華民國自動控制研討會,新竹, pp. 540-545, 2000

97.     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.

98.     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.

99.     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.

100.  C. H. Lee and C. C.  Teng, “Identification of Nonlinear Dynamic Systems Using Hammerstein-type Model,” 1999自動控制研討會, 台中, pp.531-536, 1999.

101.  C. H. Lee and C. C.  Teng, “Tuning Membership Functions of the Fuzzy Neural Control System,” 第十一屆自動化科技研討會,嘉義中正大學, 19997.

102.  C. H. Lee and C. C.  Teng, “Tuning of PID controller for Stable and Unstable Processes with Gain and Phase Margins Specifications,” 99’石延平教授追思紀念學術紀念研討會Nov. 13, 1999, Taipei

103.  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.

104.  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.

105.  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.

106.  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.

107.  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.

108.  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.

109.  C. H. Lee and C. C.  Teng, “A Hybrid Control Applied to a Nonlinear Benchmark System,” 1998自動控制研討會, 雲林, pp. 257-262, 1998.

110.  C. H. Lee and C. C.  Teng,“Identification of Hammerstein Systems: Fuzzy Neural Network Approach,第六屆模糊理論及其應用會議, 台中,1998.

111.  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.

112.  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.

 專 利

1. 用於CNC工具機的加工專家系統及控制器加工參數產生方法

2. 建構加工專家系統的方法及使用此方法的電子裝置

 

1.   專書 (Book Chapter)

1. C. H. Lee and T. W. Hu, “Recurrent Interval Type-2 Fuzzy Neural Network Using Asymmetric Membership Functions,” in Recurrent Neural Networks, ISBN 978-3-902613-28-8, 2008.

 

 榮譽與獲獎

1.        

1.         2017 CNC國產控制器團隊競賽 決賽獲獎(亦獲新代科技補助經費)

2.         2017 旭泰科技論文獎

3.         2017 全國智動化專題競賽入圍決賽

4.         105年度中華民國自動控制學會 傑出自動控制工程獎(2016/11)

5.         105年度中華民國模糊學會最佳碩士論文獎- 詹宗育(2016/11)

6.         2016 iFUZZY Best Student Paper Award- Third Prize (2016/11)

7.         104年科技部控制學門 最佳海報獎 (2016/11)

8.         2016CNC國產控制器團隊競賽 決賽獲獎(亦獲新代科技主動補助經費) (2016/11)

-加工專家系統

9.         指導學生獲得科技部大專生參與暑期研究計畫-張翔宇(2016/6)

10.     2015創新發明應用研討會最佳論文 2015/11

11.     科技部工程司控制學門102年成果發表-成果海報展示優等 (2014/12)

12.     科技部工程司「工具機控制系統自主化前瞻技術與加值軟體研發三年期專案計畫」第一期執行績效與研發成果評比- 優良獎 (2014/11)

13.     榮獲國科會2013年優秀年輕學者研究計畫

14.     IEEE Senior Member, 2013/7

15.     中興大學工學院優良導師獎 2013/7

16.     97年度國科會吳大猷先生紀念獎 (2008/7)

17.     98學年 中華民國自動控制學會「青年自動控制工程獎」(2009/11)

18.     指導于宗民同學獲中華民國模糊學會102年度碩士論文獎佳作

19.     指導薛皓元同學碩士論文獲得中華民國自動控制學會碩士論文獎特優(第一名)2012/11

20.     指導薛皓元同學獲得2012iFUZZY之大會最佳論文獎第二名(The Conference Best Paper Award- The Second Price)2012/11

21.     指導碩士生張奉宇獲中華民國模糊學會100年度碩士論文獎  電機類優等(第一名)(2011/11)

22.     指導碩士生郭哲廷獲中華民國模糊學會99年度碩士論文獎第二名 (2010/12)

23.     榮獲2004年中華民國模糊學會碩士論文獎第一名(指導教授獎)

24.     任國家考試委員 2012

25.     高引用論文2(HiCi paper)

(i)              Ching-Hung Lee and C. C. Teng, Identification and Control of Dynamic Systems Using Recurrent Fuzzy Neural Networks, IEEE Trans. on Fuzzy Systems, (Full Paper), Vol. 8, No. 4, pp. 349-366, August 2000. (SCI, IF=6.303, Ranking=3/248) (Cited #= 311, Google scholar=607)

MATLAB: Recurrent Fuzzy Neural Network (RFNN) Library for Simulink

(ii) 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 Trans. on Control Systems and Technology (Full Paper), Vol. 9, No. 2, pp. 305-318, 2001 (SCI, IF=2.521, Ranking=10/59) (Cited #=145, Google scholar=301)

26.     2010/4- Certificate of Merit for The 2010 IAENG Int. Conf. on Artificial Intelligent and Applications (2010/04) 兩篇論文獲獎 (國外獲獎)

27.     擔任Local Arrangement Co-Chair FUZZ IEEE 2011 (2011/6)

28.     榮獲2008年中華民國模糊理論及其應用研討會 最佳論文佳作獎(2008/12)

29.     95年度國科會控制學門成果發表「優良海報」獎(國立中興大學)

30.     94年度國科會工程控制學門成果發表 「海報展示競賽佳作」(聖約翰科技大學)

31.     Editorial board Member: The Open Cybernetics and Systems Journal, Int. Journal of Advanced Cybernetics and Intelligent Systems

32.     Guest Editor of Advance in Fuzzy Systems-Special Issue: Fuzzy Logic Applications in Control Theory and Systems Biology

33.     Certificate of Merit for The 2010 IAENG Int. Conf. on Artificial Intelligent and Applications (2010/04) paper Title: Species-based Hybrid of Electromagnetism-like Mechanism and Back-propagation Algorithms for An Interval Type-2 Fuzzy System Design

34.      Certificate of Merit for The 2010 IAENG Int. Conf. on Artificial Intelligent and Applications (2010/04), paper Title: Nonlinear Systems Design by a Novel Fuzzy Neural Systems via Hybridization of EM and PSO Algorithms

35.     指導大學部專題生劉欣宜、李仲凱 榮獲中國工程師學會 獲得工程論文競賽佳作

36.     獲得元智大學97學年度研究傑出獎 (2009/12)

37.     獲得元智大學98學年度輔導暨服務傑出獎 (2010/12)

38.   獲得元智大學95學年度教學傑出獎 (2007/12)