ADAPTIVE FUZZY CONTROL FOR A CLASS OF UNCERTAIN NONLINEAR SYSTEMS VIA LMI APPROACH

被引：0
|
作者：
Han, Hugang [1 ]
机构：
[1] Prefectural Univ Hiroshima, Dept Management Informat Syst, Minami Ku, Hiroshima 7348558, Japan
来源：
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL | 2010年 / 6卷 / 01期
关键词：
Uncertainties; LMIs; Input Constraint; Adaptive law; Conservatism; QUADRATIC STABILIZABILITY; ROBUST STABILIZATION; STABILITY ANALYSIS; LINEAR-SYSTEMS; TRACKING; SUBJECT; DESIGN;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper deals with control design and stability analysis for a class of nonlinear systems with system uncertainties as well as input constraint when using the T-S fuzzy model. As a result, it achieves an adaptive fuzzy controller, which consists of two components: one is corresponding with the regular state feedback controller based on the LMI approach in order to deal with the known part in the T-S fuzzy model; and another one is obtained based on adaptive law in order to deal with the unknown part in the T-S fuzzy model. In the end, the problem of relaxing LMI conservatism is considered.
引用
收藏
页码：275 / 285
页数：11
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