Robust static output feedback H∞ control for uncertain fuzzy systems

This paper will focus on robust static output feedback (SOF) H ∞ control for discrete-time Takagi-Sugeno (T-S) fuzzy systems with time-varying norm bounded uncertainties. First, a new H ∞ performance analysis criterion is proposed for the fuzzy systems. Then, sufficient conditions for designing fuzzy SOF H ∞ controllers are given in terms of solutions to a set of linear matrix inequalities (LMIs). In contrast to the existing methods for designing the SOF H ∞ controllers, the output matrices of the considered fuzzy system are allowed to be non-common and to have uncertainties. Moreover, theoretical proof is given to show that the proposed design conditions include some existing results as special cases. Simulation examples are provided to show the effectiveness of the proposed design method.

[1]  Antonio Sala,et al.  Relaxed LMI conditions for closed-loop fuzzy systems with tensor-product structure , 2007, Eng. Appl. Artif. Intell..

[2]  Thierry-Marie Guerra,et al.  LMI-based relaxed nonquadratic stabilization conditions for nonlinear systems in the Takagi-Sugeno's form , 2004, Autom..

[3]  Shaocheng Tong,et al.  A Novel Robust Adaptive-Fuzzy-Tracking Control for a Class of NonlinearMulti-Input/Multi-Output Systems , 2010, IEEE Transactions on Fuzzy Systems.

[4]  Arkadi Nemirovski,et al.  Lmi Control Toolbox For Use With Matlab , 2014 .

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

[6]  Guang-Hong Yang,et al.  A descriptor representation approach to observer-based Hinfinity control synthesis for discrete-time fuzzy systems , 2011, Fuzzy Sets Syst..

[7]  Guang-Hong Yang,et al.  Dynamic output feedback H∞ control synthesis for discrete-time T-S fuzzy systems via switching fuzzy controllers , 2009, Fuzzy Sets Syst..

[8]  Guang-Hong Yang,et al.  Static output feedback Hinfinity control of a class of nonlinear discrete-time systems , 2009, Fuzzy Sets Syst..

[9]  Hak-Keung Lam,et al.  Quadratic-Stability Analysis of Fuzzy-Model-Based Control Systems Using Staircase Membership Functions , 2010, IEEE Transactions on Fuzzy Systems.

[10]  Pierre Apkarian,et al.  Parameterized linear matrix inequality techniques in fuzzy control system design , 2001, IEEE Trans. Fuzzy Syst..

[11]  Kazuo Tanaka,et al.  Fuzzy regulators and fuzzy observers: relaxed stability conditions and LMI-based designs , 1998, IEEE Trans. Fuzzy Syst..

[12]  Ji-Chang Lo,et al.  Robust H/sub /spl infin// nonlinear control via fuzzy static output feedback , 2003 .

[13]  Mohammed Chadli,et al.  An LMI formulation for output feedback stabilization in multiple model approach , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[14]  Huijun Gao,et al.  H∞ Fuzzy Control of Nonlinear Systems Under Unreliable Communication Links , 2009, IEEE Trans. Fuzzy Syst..

[15]  Chun-Hsiung Fang,et al.  A new LMI-based approach to relaxed quadratic stabilization of T-S fuzzy control systems , 2006, IEEE Trans. Fuzzy Syst..

[16]  Baocang Ding,et al.  Stabilization of Takagi–Sugeno Model via Nonparallel Distributed Compensation Law , 2008, IEEE Transactions on Fuzzy Systems.

[17]  Kazuo Tanaka,et al.  A Descriptor System Approach to Fuzzy Control System Design via Fuzzy Lyapunov Functions , 2007, IEEE Transactions on Fuzzy Systems.

[18]  Antonio Sala,et al.  Asymptotically necessary and sufficient conditions for stability and performance in fuzzy control: Applications of Polya's theorem , 2007, Fuzzy Sets Syst..

[19]  Baocang Ding Quadratic boundedness via dynamic output feedback for constrained nonlinear systems in Takagi-Sugeno's form , 2009, Autom..

[20]  G. Feng,et al.  A Survey on Analysis and Design of Model-Based Fuzzy Control Systems , 2006, IEEE Transactions on Fuzzy Systems.

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

[22]  Guang-Hong Yang,et al.  Relaxed stabilization conditions for continuous-time Takagi-Sugeno fuzzy control systems , 2010, Inf. Sci..

[23]  Yong-Yan Cao,et al.  Robust H∞ disturbance attenuation for a class of uncertain discrete-time fuzzy systems , 2000, IEEE Trans. Fuzzy Syst..

[24]  I. Petersen A stabilization algorithm for a class of uncertain linear systems , 1987 .

[25]  Shaocheng Tong,et al.  A Combined Backstepping and Small-Gain Approach to Robust Adaptive Fuzzy Output Feedback Control , 2009, IEEE Transactions on Fuzzy Systems.

[26]  Kevin Guelton,et al.  Robust dynamic output feedback fuzzy Lyapunov stabilization of Takagi-Sugeno systems - A descriptor redundancy approach , 2009, Fuzzy Sets Syst..

[27]  Xiao‐Heng Chang,et al.  Relaxed stability condition and state feedback H∞ controller design for T-S fuzzy systems , 2009 .

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

[29]  Mohammed Chadli,et al.  LMI Solution for Robust Static Output Feedback Control of Discrete Takagi–Sugeno Fuzzy Models , 2012, IEEE Transactions on Fuzzy Systems.

[30]  Chun-Hsiung Fang,et al.  Robust H∞ fuzzy static output feedback control of T-S fuzzy systems with parametric uncertainties , 2007, Fuzzy Sets Syst..