CMAC-based previous step supervisory control schemes for relaxing bound in adaptive fuzzy control

Applied Soft Computing Journal

Volumn 11, Issue 8, 2011, Pages 5715-5723

  Tao, Ted ^a   Su, Shun Feng ^b  

^a TECHNOLOGY AND SCIENCE INSTITUTE OF NORTHERN TAIWAN   (Taiwan)

^b NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

CMAC; Fuzzy control; Lyapunov stability; Robust bound; Supervisory control

Indexed keywords

ADAPTIVE FUZZY CONTROL; CEREBELLAR MODEL ARTICULATION CONTROLLER; CMAC; CONTROL PERFORMANCE; CONTROL PROCESS; CONTROLLED SYSTEM; FUZZY ESTIMATORS; LEARNING CAPABILITIES; LEARNING MECHANISM; LYAPUNOV; LYAPUNOV STABILITY; OUTPUT PERFORMANCE; PRACTICAL SYSTEMS; REFERENCE TRAJECTORIES; ROBUST BOUND; SUPERVISORY CONTROL; SUPERVISORY CONTROLLERS; SYSTEM FUNCTIONS;

CONTROLLERS; FUZZY CONTROL;

ADAPTIVE CONTROL SYSTEMS;

EID: 80053571200     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2011.03.019     Document Type: Article

References (50)

1. D.K. Pratihar, K. Deb, and A. Ghosh A genetic-fuzzy approach for mobile robot navigation among moving obstacles Int. J. Approx. Reason. 20 2 1999 145 172
2. C.C. Lee Fuzzy logic in control system: fuzzy logic controller - part I and part II IEEE Trans. Syst. Man Cybern. SMC-20 2 1990 404 435
3. T. Takagi, and M. Sugeno Fuzzy identification of systems and its applications to modeling and control IEEE Trans Syst. Man Cybern. 15 1 1985 116 132
4. S. Takashima 100 Examples of Fuzzy Theory Application mostly in Japan 1989 Trigger
5. Y.J. Chen Fuzzy sliding mode controller design: indirect adaptive approach Cybern. Syst. 30 1 1999 9 27
6. H. Ying The Takagi-Sugeno fuzzy controllers using the simplified linear rules are nonlinear variable gain controllers" Automatica 34 2 1998 157 167 (Pubitemid 128392504)
7. C. Treesatayapun Fuzzy rules emulated network and its application on nonlinear control systems Appl. Soft Comput. J. 8 2 2008 996 1004 (Pubitemid 350266494)
8. G. Feng A survey on analysis and design of model-based fuzzy control systems IEEE Trans. Fuzzy Syst. 14 October (5) 2006 676 697 (Pubitemid 44607782)
9. D.L. Tsay, H.Y. Chung, and C.J. Lee The adaptive control of nonlinear systems using the Sugeno-Type of fuzzy logic IEEE Trans. Fuzzy Syst. 7 2 1999 225 229
10. T.C. Hsia Adaptive control of robot manipulators - a review IEEE Conf. Robot. Autom. 1 1986 183 189 (Pubitemid 16616143)
11. L.X. Wang Stable adaptive fuzzy controllers with application to inverted pendulum tracking IEEE Trans. Syst. Man Cybern Pt. B: Cybern. 26 5 1996 677 690
12. Y.G. Leu, T.T. Lee, and W.Y. Wang Observer-based adaptive fuzzy-neural control for unknown nonlinear dynamical systems IEEE Trans. Syst. Man Cybern. 29 5 1999 677 690
13. L.X. Wang Adaptive Fuzzy Systems and Control: Design and Stability Analysis 1994 Prentice-Hall Englewood Cliffs, NJ
14. S.-S. Chen, S.-F. Su, and T.-T. Lee Direct adaptive model reference fuzzy controllers 2002 Chinese Automatic Control Conference 2002
15. T.K. Yin, and C.S.G. Lee Fuzzy model-reference adaptive control IEEE Trans. Syst. Man Cybern. 25 12 1995 1606 1615
16. S.-S. Chen, S.-F. Su, and Y.-C. Chang The stable tracking adaptive fuzzy control of nonlinear dynamic systems using the Takagi-Sugeno fuzzy logic Proceedings of the 7th Conf. on Artificial Intelligence and Applications 2002 65 70
17. R.B. Mclain, M.A. Henson, and M. Pottmann Direct adaptive control of partially known nonlinear systems IEEE Trans. Neural Netw. 10 3 1999 714 721
18. K. Tanaka, and M. Sugeno Stability analysis and design of fuzzy control systems Fuzzy Sets Syst. 45 1992 135 156
19. K. Tanaka, and M. Sano A robust stabilization problem of fuzzy control systems and its application to backing up control of a truck-tailer IEEE Trans. Fuzzy Syst. 2 2 1994 119 134
20. C.L. Chen, P.C. Chen, and C.K. Chen Analysis and design of fuzzy control system Fuzzy Sets Syst. 57 1993 125 140
21. S.F. Su, J.C. Chang, and S.S. Chen The study on direct adaptive fuzzy controllers Int. J. Fuzzy Syst. 8 3 2006 150 159
22. P. Dorato A history review of robust control IEEE Control Syst. Mag. 7 2 1987 44 47
23. T.C.S. Hsia A new technique for robust control of servo systems IEEE Trans. Ind. Electron. 36 1 1989 1 7
24. J.C. Doyle, and G. Stein Multivariable feedback design: concepts for a classical/modern synthesis IEEE Trans. Autom. Control AC-26 1 1981 4 16 (Pubitemid 11495779)
25. S.F. Su, T. Tao, and T.H. Hung Credit assigned CMAC and its application to online learning robust controllers IEEE Trans. Syst. Man Cybern. Pt. B: Cybern. 33 2 2003 202 213
26. H. Hu, and P.-Y. Woo Fuzzy supervisory sliding-mode and neural-network control for robotic manipulators IEEE Trans. Ind. Electron. 53 3 2006 929 940 June (Pubitemid 43834613)
27. C.-M. Lin, and Y.-F. Peng Adaptive CMAC-based supervisory control for uncertain nonlinear systems IEEE Trans. Syst. Man Cybern. Pt. B: Cybern. 34 2 2004 1248 1260
28. L.X. Wang A supervisory controller for fuzzy control systems that guarantees stability IEEE Trans. Autom. Control 39 9 1994 1845 1847
29. Z.-J. Lee, Y.-P. Wang, and S.-F. Su A genetic algorithm based robust learning credit assignment cerebellar mode articulation controller Appl. Soft Comput. J. 4 4 2004 357 367 (Pubitemid 38781711)
30. P.T. Chan, A.B. Rad, and J. Wang Indirect adaptive fuzzy sliding mode control. Part II: parameter projection and supervisory control Fuzzy Sets Syst. 122 2001 31 43 (Pubitemid 32534777)
31. C.H. Wang, H.L. Liu, and T.C. Lin Direct adaptive fuzzy-neural control with state observer and supervisory controller for unknown nonlinear dynamical systems IEEE Trans. Fuzzy Syst. 10 1 2002 39 49
32. W.D. Chang, R.C. Hwang, and J.G. Hsieh A self-tuning PID control for a class of nonlinear systems based on the Lyapunov approach J. Process Control 12 2002 233 242
33. C.Y. Lee, and J.J. Lee Adaptive control for uncertain nonlinear systems based on multiple neural networks IEEE Trans. Syst. Man Cybern. Pt. B: Cybern. 34 1 2004 325 333
34. K.H. Su, and C.C. Kung Supervisory enhanced genetic algorithm controller design and its application to decoupling induction motor drive IEE Proc. Electr. Power Appl. 152 4 2005 1015 1026
35. R.J. Wai, and K.H. Su Supervisory control for linear Piezoelectric Ceramic motor drive using genetic algorithm IEEE Trans. Ind. Electron. 53 2 2006 657 673
36. Y.-C. Hsueh, and S.-F. Su Supervisory controller design based on Lyapunov stable theory The 2007 IEEE International Conference on Systems, Man, and Cybernetics Montreal Canada, October 7-10 2007
37. J.S. Albus A new approach to manipulator control: the cerebellar model articulation controller (CMAC) ASME J. Dyn. Syst. Meas. Control 1975 220 227
38. J.S. Albus Data storage in the cerebellar model articulation controller (CMAC) ASME J. Dyn. Syst. Meas. Control 1975 228 233
39. C.-J. Lin, and C.-Y. Lee A novel parametric fuzzy CMAC network and its applications Appl. Soft Comput. J. 9 2 2009 775 785
40. Y.-F. Peng, and C.-M. Lin RCMAC-based adaptive control for uncertain nonlinear systems IEEE Trans. Syst. Man Cybern. Pt. B: Cybern. 37 3 2007 651 666 (Pubitemid 46784599)
41. L.A. Zadeh Fuzzy Set Inform. Control 8 1965 338 353
42. T. Tao, and C.Y. Huang Adaptive fuzzy sliding mode control schemes for tracking time-varying trajectories' Proceedings of IEEE International Conference on Fuzzy Systems London, UK, 34-38 July 2007
43. B. Yoo, and W. Ham Adaptive fuzzy sliding mode control of nonlinear system IEEE Trans. Fuzzy Syst. 6 3 1998 315 321 (Pubitemid 128750064)
44. L.X. Wang, and J.M. Mendel Fuzzy basis functions, universal approximation, and orthogonal least squares learning IEEE Trans. Neural Netw. 3 5 1992 807 814
45. F.J Gonzalez-Serrano, A.R. Figueiras-Vidal, and A. Artes-Rodriguez Generalizing CMAC architecture and training IEEE Trans. Neural Netw. 9 6 1998 1509 1514 (Pubitemid 128742427)
46. D.E. Thompson, and S. Kwon Neighborhood sequential and random training technique for CMAC IEEE Trans. Neural Netw. 6 1 1995 196 202
47. Y.F. Wong, and A. Sideris Learning convergence in the model articulation controller IEEE Trans. Neural Netw. 3 1 1992 115 121
48. C.S. Lin, and C.T. Chiang Learning convergence of CMAC technique IEEE Trans. Neural Netw. 8 6 1997 1281 1292
49. H.C. Lu, and T. Tao The treatment of image boundary effects in CMAC networks Proceedings of the International Joint Conference on Neural Works Budapast, Hungary, vol. 2, July 2004 867 872 (Pubitemid 40011574)
50. S.-F. Su, Z.-J. Lee, and Y.-P. Wang Robust and fast learning for fuzzy Cerebellar model articulation controllers IEEE Trans. Syst. Man Cybern. Pt. B: Cybern. 36 1 2006 203 208 (Pubitemid 43174153)