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
收藏
页码：7719 / 7724
页数：6
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