Event-triggered H∞ control for discrete-time networked T-S fuzzy systems

被引：0

作者：

Xu, Dongqin ^{[1
]}

Li, Zuxin ^{[1
,2
]}

Chen, Huiying ^{[2
]}

Wang, Yanfeng ^{[2
]}

机构：

[1] Hangzhou Dianzi Univ, Inst Informat & Control, Hangzhou 310018, Zhejiang, Peoples R China

[2] Huzhou Univ, Sch Engn, Huzhou 313000, Zhejiang, Peoples R China

来源：

PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017) | 2017年

基金：

中国国家自然科学基金;

关键词：

Nonlinear NCSs; T-S fuzzy model; PDC technique; LMIs; Lyapunov method; Event-triggered mechanism; STABILITY ANALYSIS; STATE-FEEDBACK;

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 concerns the H-infinity control for a class of nonlinear networked control systems (NCSs) based on event-triggered T-S fuzzy model. A networked fuzzy systems model is established by introducing the parallel distributed compensation (PDC) technique and T-S fuzzy model. Based on the model, sufficient conditions that guarantee the system achieve asymptotically stable are given in terms of linear matrix inequalities (LMIs) by using Lyapunov-Krasokii function approach. In order to save network resources, the event-triggered mechanism (ETM) strategy is proposed. Then, the state feedback controller is designed. Finally, a numerical example is given to show the effectiveness of the proposed method.

引用

页码：7719 / 7724

页数：6

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