Decentralized Control for a Class of Discrete-time Fuzzy Bilinear Interconnected Large-scale Systems

被引：0

作者：

Song Mingli ^{[1
]}

Zhang Quo ^{[2
]}

机构：

[1] LuoYang Normal Univ, Acad Informat Technol, Luoyang, Henan, Peoples R China

[2] Luoyang Inst Sci & Technol, Dept Elect Engn, Luoyang, Peoples R China

来源：

2011 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6 | 2011年

基金：

国家高技术研究发展计划(863计划);

关键词：

discrete-time fuzzy bilinear interconnected large-scale system; decentralized control; linear matrix inequality (LMI); cone complementarity linearization (CCL); STATE-FEEDBACK; STABILIZATION; STABILITY; DESIGN; MODEL;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents the problem of decentralized control for a class of discrete-time fuzzy bilinear interconnected large-scale systems. Based on the Lyapunov stability analysis theory and the parallel distribute compensation (PDC) scheme, some sufficient stabilization conditions are derived for the whole close-loop fuzzy interconnected systems. The cone complementarity linearization (CCL) algorithm is employed to convert the corresponding decentralized fuzzy controller design into a minimum problem with linear matrix inequality (LMI) constraints. Finally, a simulation example shows that the proposed approach is effective.

引用

页码：3097 / 3101

页数：5

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