Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/116770
Title: Quadratic stability analysis of fuzzy control systems
Authors: Yang, G.-H. 
Dong, J.
Issue Date: 2006
Source: Yang, G.-H.,Dong, J. (2006). Quadratic stability analysis of fuzzy control systems. Proceedings of the American Control Conference 2006 : 4344-4349. ScholarBank@NUS Repository.
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. © 2006 IEEE.
Source Title: Proceedings of the American Control Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/116770
ISBN: 1424402107
ISSN: 07431619
Appears in Collections:Staff Publications

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