Fault Detection for Uncertain Delta Operator Systems with Limited Communication Based on T-S Fuzzy Model

被引：0
|
作者：
Fan, Yamin [1 ]
Zhang, Duanjin [1 ]
机构：
[1] Zhengzhou Univ, Sch Informat Engn, Zhengzhou 450001, Peoples R China
来源：
IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY | 2020年
基金：
中国国家自然科学基金;
关键词：
networked control systems; fault detection; T-S fuzzy model; packet dropout; time delay; limited communication; H-INFINITY CONTROL; DELAYS;
D O I：
10.1109/iecon43393.2020.9255260
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A fault detection filter for uncertain delta operator systems based on T-S fuzzy model is designed. The phenomena of limited communication, packet dropouts, time delay and the uncertainty in the system are considered simultaneously in filter design. Then, by constructing the Lyapunov functional in delta domain, sufficient conditions for the augmented system with asymptotical stability and H-infinity performance are proposed. Furthermore, the desired filter parameters can be obtained via linear matrix inequalities (LMIs). Finally, simulation results certify the effectiveness of the presented method.
引用
收藏
页码：219 / 224
页数：6
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