Title :
Quadratic stability analysis of fuzzy control systems
Author :
Yang, Guang-hong ; Dong, Jiuxiang
Author_Institution :
Temasek Labs., Nat. Univ. of Singapore
Abstract :
This paper is concerned with the problem of quadratic stability analysis of nonlinear continuous-time control systems given by Takagi-Sugeno (T-S) fuzzy models. A new quadratic stability condition for the class of fuzzy control systems is presented in terms of solvability of linear matrix inequalities (LMIs). It is shown that the new quadratic stability criterion provides 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 :
continuous time systems; fuzzy control; linear matrix inequalities; nonlinear control systems; stability; Takagi-Sugeno fuzzy models; fuzzy control systems; linear matrix inequalities; nonlinear continuous-time control systems; quadratic stability analysis; Control system synthesis; Fuzzy control; Fuzzy sets; Fuzzy systems; Linear matrix inequalities; Regulators; Stability analysis; Stability criteria; Symmetric matrices; Takagi-Sugeno model;
Conference_Titel :
American Control Conference, 2006
Conference_Location :
Minneapolis, MN
Print_ISBN :
1-4244-0209-3
Electronic_ISBN :
1-4244-0209-3
DOI :
10.1109/ACC.2006.1657402