Guaranteed cost control of uncertain T-S fuzzy descriptor systems

被引：0
|
作者：
Ma, BP [1 ]
Zhu, XM [1 ]
Sun, J [1 ]
机构：
[1] Nanjing Normal Univ, Sch Elect & Automat Engn, Nanjing 210042, Peoples R China
来源：
PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9 | 2005年
关键词：
fuzzy descriptor systems; guaranteed cost control; parameter uncertainty; linear matrix inequalities (LMI);
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 focuses on the problem of guaranteed cost control for uncertain Takagi-Sugeno (T-S) fuzzy descriptor system. The parametric uncertainty is assumed to be norm-bounded. A linear quadratic cost function is considered as a performance index. Sufficient conditions for the existence of guaranteed-cost controllers are given in terms of linear matrix inequalities (LMIs). A convex optimization problem with LMI constraints is formulated to design the optimal guaranteed cost controller, which minimize the guaranteed cost of the closed-loop uncertain system.
引用
收藏
页码：742 / 746
页数：5
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