Title :
An LMI-Based Approach to Fuzzy Control Systems Analysis
Author :
Yang, Guang-hong ; Dong, Jiuxiang
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
Abstract :
This paper is concerned with the problem of quadratic stability analysis of continuous nonlinear control systems given by Takagi-Sugeno (T-S) fuzzy models. A set of new quadratic stability conditions for fuzzy regulators of the class of fuzzy control systems are presented in terms of solvability of linear matrix inequalities (LMIs). It is shown that the new quadratic stability criteria provide better or at least the same results of the existing methods in the literature, and numerical examples are given to illustrate the effectiveness of the proposed stability criterion
Keywords :
computability; control system analysis; feedback; fuzzy control; fuzzy systems; linear matrix inequalities; nonlinear control systems; stability criteria; Takagi-Sugeno fuzzy model; continuous nonlinear control systems; fuzzy control systems analysis; fuzzy regulators; linear matrix inequalities; quadratic stability analysis; stability criterion; state feedback control; Control system analysis; Fuzzy control; Fuzzy sets; Fuzzy systems; Linear matrix inequalities; Nonlinear control systems; Regulators; Stability analysis; Stability criteria; Takagi-Sugeno model; Nonlinear control systems; Takagi-Sugeno (T-S) fuzzy models; linear matrix inequalities (LMIs); quadratic stability; state feedback control;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1712306
