Multiobjective control synthesis for a class of uncertain fuzzy systems

被引：0
|
作者：
He, L [1 ]
Duan, GR [1 ]
机构：
[1] Harbin Inst Technol, Ctr Control Theory & Guidance Technol, Harbin 150001, Peoples R China
来源：
PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9 | 2005年
关键词：
H-infinity performance; norm-bounded uncertainty; D-stability; fuzzy systems; multiobjective control;
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 addresses the problem of designing a robust fuzzy controller for a class of uncertain fuzzy systems with H-infinity optimization and D-stability constraints on the closed-loop pole location. Takagi and Sugeno (T-S) fuzzy models are used as the model for the uncertain nonlinear systems. By utilizing the concept of the so-called parallel disturbance compensation (PDC), solutions to the problem are derived in terms of a family of linear matrix inequalities and are numerically tractable via LMI techniques.
引用
收藏
页码：2563 / 2567
页数：5
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