Relaxed stability issues for T-S fuzzy system: Based on a fuzzy quadratic Lyapunov function

被引：2
|
作者：
Juang, Yau-Tarng [1 ]
Yan, Chung-Lin [1 ]
Huang, Chih-Peng [2 ]
机构：
[1] Natl Cent Univ, Dept Elect Engn, Jhongli, Taiwan
[2] Taipei Municipal Univ Educ, Dept Comp Sci, Taipei, Taiwan
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2014年 / 26卷 / 02期
关键词：
T-S fuzzy model; linear matrix inequality (LMI); Lyapunov function; fuzzy quadratic Lyapunov function (FQLF); NONLINEAR-SYSTEMS; CONTROL DESIGN; MODEL; STABILIZATION; REGULATORS;
D O I：
10.3233/IFS-120758
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Based on a fuzzy quadratic Lyapunov function (FQLF), this paper mainly addresses the stability issues of the T-S fuzzy model. Differentiating from existing results with common quadratic Lyapunov functions (CQLF) and leading to stability criteria restricted to finding a common matrix P, this work is based on the FQLF with multiple Pi and expects to attain some less conservative results. Furthermore, the proposed stability criteria will be directly formulated in terms of strict linear matrix inequalities (LMIs), and they thus can readily be evaluated via current LMI solvers. Numerical examples are given to demonstrate the efficiency and the feasibility of the proposed approach.
引用
收藏
页码：667 / 679
页数：13
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