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

Volume

1

fYear

0

fDate

0-0 0

Firstpage

229

Lastpage

233

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1712306

Filename

1712306