Decentralized Fuzzy Observer-Based Output-Feedback Control for Nonlinear Large-Scale Systems: An LMI Approach

被引：77

作者：

Koo, Geun Bum ^{[1
]}

Park, Jin Bae ^{[1
]}

Joo, Young Hoon ^{[2
]}

机构：

[1] Yonsei Univ, Dept Elect & Elect Engn, Seoul 120749, South Korea

[2] Kunsan Natl Univ, Dept Control & Robot Engn, Kunsan 573701, Chonbuk, South Korea

来源：

IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2014年 / 22卷 / 02期

基金：

新加坡国家研究基金会;

关键词：

Decentralized fuzzy control; maximum bound of interconnection; nonlinear large-scale system; observer-based output-feedback; Takagi-Sugeno (T-S) fuzzy model; H-INFINITY CONTROL; CONTROL DESIGN; LYAPUNOV FUNCTION; STABILITY CONDITION; TRACKING CONTROL; STABILIZATION; MODELS;

D O I：

10.1109/TFUZZ.2013.2259497

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 presents a decentralized fuzzy control problem for asymptotic stabilization of a class of nonlinear large-scale systems that use an observer-based output-feedback scheme. A Takagi-Sugeno (T-S) fuzzy model is adopted for the nonlinear large-scale system, which has unknown interconnection terms, and a fuzzy controller is separately considered for measurable and nonmeasurable premise variable cases. Sufficient conditions are derived for both asymptotic stabilization and optimization of a maximum bound of interconnection and are formulated in terms of linear matrix inequalities. Finally, numerical examples are provided to verify the effectiveness of the proposed techniques.

引用

页码：406 / 419

页数：14

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