Parameterized linear matrix inequality techniques in fuzzy control system design

被引：930
|
作者：
Tuan, HD
Apkarian, P
Narikiyo, T
Yamamoto, Y
机构：
[1] Toyota Technol Inst, Dept Control & Informat, Nagoya, Aichi 4688511, Japan
[2] CERT, ONERA, F-31055 Toulouse, France
[3] Aichi Steel Ltd, Aichi 4770036, Japan
来源：
IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2001年 / 9卷 / 02期
关键词：
fuzzy systems; parameterized linear matrix inequality (PLMI);
D O I：
10.1109/91.919253
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 proposes different parameterized linear matrix inequality (PLMI) characterizations for fuzzy control systems. These PLMI characterizations are, in turn, relaxed into pure LMI programs, which provides tractable and effective techniques for the design of suboptimal fuzzy control systems. The advantages of the proposed methods over earlier ones are then discussed and illustrated through numerical examples and simulations.
引用
收藏
页码：324 / 332
页数：9
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