Observer-based robust nonfragile H∞ control for uncertain T-S fuzzy singular systems

This paper aims to study the robust nonfragile H∞ controller design problem for a class of uncertain discrete-time nonlinear singular systems. A Takagi-Sugeno (T-S) fuzzy singular model with norm-bounded uncertainties is employed to represent a nonlinear plant. Basing on observers for the fuzzy model, we can construct a fuzzy controller with uncertainties existing in the implementation process. A augmented fuzzy closed-loop system can be obtained by the descriptor systems approach, which can avoid the appearance of coupling terms between matrices of the system model and the controller. Attention of the paper lies in deriving the design conditions of the observer-based controller by choosing a fixed common and fuzzy Lyapunov function, respectively, such that the admissibility and the prescript H∞ performance of the augmented closed-loop system can be guaranteed. Finally, the simulation results show the validity of the proposed methods.

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

[2]  Yongduan Song,et al.  Robust finite-time H∞ control for uncertain discrete-time singular systems with Markovian jumps , 2014 .

[3]  Shengyuan Xu,et al.  Robust stability of uncertain discrete-time singular fuzzy systems , 2007, Fuzzy Sets Syst..

[4]  Kazuo Tanaka,et al.  Fuzzy descriptor systems: stability analysis and design via LMIs , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

[5]  J. Koenderink Q… , 2014, Les noms officiels des communes de Wallonie, de Bruxelles-Capitale et de la communaute germanophone.

[6]  Mohamed Darouach,et al.  Further Enhancement on Robust $H_{\infty}$ Control Design for Discrete-Time Singular Systems , 2014, IEEE Transactions on Automatic Control.

[7]  Xiao-Heng Chang,et al.  Robust Nonfragile $H_\infty$ Filtering of Fuzzy Systems With Linear Fractional Parametric Uncertainties , 2012, IEEE Transactions on Fuzzy Systems.

[8]  Hongbin Zhang,et al.  Delay-dependent stability and Hinfinity control for a class of fuzzy descriptor systems with time-delay , 2009, Fuzzy Sets Syst..

[9]  Peng Shi,et al.  Network-Based Event-Triggered Control for Singular Systems With Quantizations , 2016, IEEE Transactions on Industrial Electronics.

[10]  Xiao‐Heng Chang A Descriptor Representation Approach , 2012 .

[11]  G. Duan Analysis and Design of Descriptor Linear Systems , 2010 .

[12]  Qingling Zhang,et al.  H∞ fuzzy control for nonlinear time-delay singular Markovian jump systems with partly unknown transition rates , 2014, Fuzzy Sets Syst..

[13]  Qingling Zhang,et al.  Non-fragile robust H∞ control for uncertain discrete-time singular systems with time-varying delays , 2014, J. Frankl. Inst..

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

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

[16]  L. Dai,et al.  Singular Control Systems , 1989, Lecture Notes in Control and Information Sciences.

[17]  Xian Zhang,et al.  Fuzzy-Model-Based ${{\cal D}}$-Stability and Nonfragile Control for Discrete-Time Descriptor Systems With Multiple Delays , 2014, IEEE Transactions on Fuzzy Systems.

[18]  Kazuo Tanaka,et al.  Fuzzy descriptor systems and nonlinear model following control , 2000, IEEE Trans. Fuzzy Syst..

[19]  Shengyuan Xu,et al.  Robust Control and Filtering of Singular Systems , 2006 .

[20]  Mohamed Yagoubi,et al.  Comprehensive admissibility for descriptor systems , 2016, Autom..