Further studies on LMI-based relaxed stabilization conditions for nonlinear systems in Takagi-Sugeno's form

被引:252
作者
Ding, BC [1 ]
Sun, HX [1 ]
Yang, P [1 ]
机构
[1] Hebei Univ Technol, Sch Elect & Automat, Tianjin 300130, Peoples R China
基金
中国国家自然科学基金;
关键词
T-S fuzzy systems; parameter-dependent Lyapunov function; parallel distributed compensation; nonquadratic Lyapunov function;
D O I
10.1016/j.automatica.2005.11.005
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper further studies stabilization of nonlinear systems represented by a Takagi-Sugeno (T-S) discrete fuzzy model. By extending a nonquadratic Lyapunov function and applying a nonparallel distributed compensation (non-PDC) law, a new stabilization conclusion is presented that is a generalization of some previous results in the literature. The new conclusion under a special situation is also suitable for a PDC law, which presents to be more relaxed than some existing results. An example is provided to demonstrate the effectiveness of the new conclusions. (C) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码:503 / 508
页数:6
相关论文
共 10 条
[1]   Parameter dependent Lyapunov functions for discrete time systems with time varying parametric uncertainties [J].
Daafouz, J ;
Bernussou, J .
SYSTEMS & CONTROL LETTERS, 2001, 43 (05) :355-359
[2]  
Gahinet P., 1995, LMI Control Toolbox
[3]   LMI-based relaxed nonquadratic stabilization conditions for nonlinear systems in the Takagi-Sugeno's form [J].
Guerra, TM ;
Vermeiren, L .
AUTOMATICA, 2004, 40 (05) :823-829
[4]   Piecewise quadratic stability of fuzzy systems [J].
Johansson, M ;
Rantzer, A ;
Årzén, KE .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 1999, 7 (06) :713-722
[5]   New approaches to relaxed quadratic stability condition of fuzzy control systems [J].
Kim, E ;
Lee, H .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2000, 8 (05) :523-534
[6]   Approaches to quadratic stability conditions and H∞ control designs for T-S fuzzy systems [J].
Liu, XD ;
Zhang, QL .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2003, 11 (06) :830-839
[7]   New approaches to H∞ controller designs based on fuzzy observers for T-S fuzzy systems via LMI [J].
Liu, XD ;
Zhang, QL .
AUTOMATICA, 2003, 39 (09) :1571-1582
[8]   FUZZY IDENTIFICATION OF SYSTEMS AND ITS APPLICATIONS TO MODELING AND CONTROL [J].
TAKAGI, T ;
SUGENO, M .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1985, 15 (01) :116-132
[9]  
TEIXEIRA MCM, 2001, FUZZY IEEE 2001 MELB
[10]  
Wang H E, 2000, Prehosp Emerg Care, V4, P14, DOI 10.1080/10903120090941560