Adaptive Controller for T-S Fuzzy Model with Modeling Error

被引：3
|
作者：
Han, Hugang [1 ]
机构：
[1] Prefectural Univ Hiroshima, Fac Management & Informat Syst, Minami Ku, 1-71 Ujina Higashi, Hiroshima, Hiroshima 7348558, Japan
来源：
JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS | 2011年 / 15卷 / 07期
关键词：
T-S fuzzy model; modeling error; adaptive control; LMIs;
D O I：
10.20965/jaciii.2011.p0759
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Modeling error occurs in linearizing the real (nonlinear) system into the (linear) T-S fuzzy model, and the existence of uncertainties in the real system including external disturbances. This paper deals with the T-S fuzzy model with modeling error in order to improve the control performance. As a result, an adaptive controller that consists of two parts: one is obtained by solving certain Linear Matrix Inequalities (LMIs) (fixed part) and the other is acquired by the fuzzy approximator in which the related parameters are tuned by adaptive law (variable part), is proposed. The proposed controller can guarantee all signals involved in the closed-loop system uniformly ultimately bounded.
引用
收藏
页码：759 / 766
页数：8
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