TS-CMAC Based Sliding Mode Control for Time-delay Systems

This paper investigates the problem of sliding mode adaptive TS-CMAC control for a class of nonlinear system with time delay via LMI approach. The nth-order system is not Isidori-Bynes canonical form, so we develop a different way to design the sliding surface and reaching law. First, a novel sliding surface design method is proposed based on Lyapunov-Krasoviskii method. Linear Inequality Matrix (LMI) technique provide to design sliding surface. Second, a new structure of TS-CMAC is proposed to design an adaptive reaching law. The corresponding adaptive reaching law is constructed based on Lyapunov method, which can drive the state trajectory of the close system onto the sliding surface within limited time. In addition, on-line adaptive laws of the control system are derived based on the Lyapunov stability theorem and gradient descent method. Simulation results demonstrate the effective of the proposed control scheme for nonlinear time-delay system with unknown uncertainties.

[1]  Tsung-Chih Lin,et al.  Adaptive hybrid intelligent control for uncertain nonlinear dynamical systems , 2002, IEEE Trans. Syst. Man Cybern. Part B.

[2]  Marcelo C. M. Teixeira,et al.  Stabilizing controller design for uncertain nonlinear systems using fuzzy models , 1999, IEEE Trans. Fuzzy Syst..

[3]  Y. Cao,et al.  Delay-dependent robust stabilization of uncertain systems with multiple state delays , 1998, IEEE Trans. Autom. Control..

[4]  Zengqi Sun,et al.  Output tracking and regulation of nonlinear system based on Takagi-Sugeno fuzzy model , 2000, IEEE Trans. Syst. Man Cybern. Part B.

[5]  Weiping Li,et al.  Applied Nonlinear Control , 1991 .

[6]  Kao-Shing Hwang,et al.  Smooth trajectory tracking of three-link robot: a self-organizing CMAC approach , 1998, IEEE Trans. Syst. Man Cybern. Part B.

[7]  Dong-Il Cho,et al.  CMAC neural network controller for fuel-injection systems , 1995, IEEE Trans. Control. Syst. Technol..

[8]  Tsung-Chih Lin,et al.  Direct adaptive fuzzy-neural control with state observer and supervisory controller for unknown nonlinear dynamical systems , 2002, IEEE Trans. Fuzzy Syst..

[9]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[10]  이영삼,et al.  Delay-dependent guaranteed cost control for uncertain discrete-time systems with delay , 2005 .

[11]  Yong-Yan Cao,et al.  Analysis and synthesis of nonlinear time-delay systems via fuzzy control approach , 2000, IEEE Trans. Fuzzy Syst..

[12]  D.A. Handelman,et al.  Theory and development of higher-order CMAC neural networks , 1992, IEEE Control Systems.

[13]  Hao Ying,et al.  Sufficient conditions on uniform approximation of multivariate functions by general Takagi-Sugeno fuzzy systems with linear rule consequent , 1998, IEEE Trans. Syst. Man Cybern. Part A.

[14]  Euntai Kim,et al.  Stability analysis and synthesis for an affine fuzzy control system via LMI and ILMI: a continuous case , 2002, IEEE Trans. Fuzzy Syst..

[15]  Lin Chun-Shin,et al.  CMAC with General Basis Functions. , 1996, Neural networks : the official journal of the International Neural Network Society.

[16]  Jong Hae Kim,et al.  Output feedback robust H∞ control of uncertain fuzzy dynamic systems with time-varying delay , 2000, IEEE Trans. Fuzzy Syst..

[17]  Kazuo Tanaka,et al.  A unified approach to controlling chaos via an LMI-based fuzzy control system design , 1998 .

[18]  Kazuo Tanaka,et al.  Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach , 2008 .

[19]  James S. Albus,et al.  New Approach to Manipulator Control: The Cerebellar Model Articulation Controller (CMAC)1 , 1975 .

[20]  Peter Liu,et al.  Synthesis of fuzzy model-based designs to synchronization and secure communications for chaotic systems , 2001, IEEE Trans. Syst. Man Cybern. Part B.

[21]  Stephen P. Boyd,et al.  Linear Matrix Inequalities in Systems and Control Theory , 1994 .

[22]  Andrew L. Kun,et al.  Control of variable speed gaits for a biped robot , 1999, IEEE Robotics Autom. Mag..

[23]  Chun-Shin Lin,et al.  Learning convergence of CMAC technique , 1997, IEEE Trans. Neural Networks.

[24]  Alberto Isidori,et al.  Nonlinear Control Systems, Second Edition , 1989, Communications and Control Engineering.

[25]  Chih-Min Lin,et al.  Adaptive CMAC-based supervisory control for uncertain nonlinear systems , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[26]  Chien-Yu Lu,et al.  An LMI-based approach for robust stabilization of uncertain stochastic systems with time-varying delays , 2003, IEEE Trans. Autom. Control..

[27]  Lihua Xie,et al.  Output feedback H∞ control of systems with parameter uncertainty , 1996 .

[28]  Jin Bae Park,et al.  Comments on "Output tracking and regulation of nonlinear system based on Takagi-Sugeno fuzzy model" , 2003, IEEE Trans. Syst. Man Cybern. Part B.

[29]  Tung-Sheng Chiang,et al.  A simple and converged structure of addressing technique for CMAC/spl I.bar/GBF , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[30]  Vu Ngoc Phat New stabilization criteria for linear time-varying systems with state delay and norm-bounded uncertainties , 2002, IEEE Trans. Autom. Control..