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
收藏
页码：406 / 419
页数：14
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