Decentralized Sampled-Data Fuzzy Observer Design for Nonlinear Interconnected Systems

被引：48

作者：

Koo, Geun Bum ^{[1
]}

Park, Jin Bae ^{[2
]}

Joo, Young Hoon ^{[3
]}

机构：

[1] Kongju Natl Univ, Div Elect Elect & Control Engn, Kong Ju 314701, South Korea

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

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

来源：

IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2016年 / 24卷 / 03期

基金：

新加坡国家研究基金会;

关键词：

Approximate discretization; decentralized sampled-data fuzzy observer; exact discrete-time design; interconn ection bound to attenuation degree ratio; nonlinear interconnected systems; LARGE-SCALE SYSTEMS; FILTER DESIGN; BILINEAR-SYSTEMS; CHAOTIC SYSTEMS; LINEAR-SYSTEMS; LMI CONDITIONS; MODELS; DELAY; STABILIZATION; FEEDBACK;

D O I：

10.1109/TFUZZ.2015.2470564

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 the decentralized sampled-data fuzzy observer design techniques for nonlinear interconnected systems, which are assumed to be composed of fuzzy subsystems and unknown interconnections. To design the decentralized fuzzy observer, the estimation error dynamics is obtained, and the performance function is defined. Based on the estimation error dynamics and the performance function, the continuous-time decentralized fuzzy observer is first proposed to minimize the interconnection bound to attenuation degree ratio. In addition, the decentralized sampled-data fuzzy observers are designed by using the approximate discretization and the exact discrete-time design approaches, respectively. Each proposed observer design technique is formulated into the optimal problems with the linear matrix inequalities. Finally, several simulation examples show the validity and superiority of the proposed observer design techniques by comparing with the conventional techniques.

引用

页码：661 / 674

页数：14

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