Event-based reduced-order fuzzy filtering for networked control systems with time-varying delays

被引：13
|
作者：
Pan, Yingnan [1 ]
Yang, Guang-Hong [1 ,2 ]
机构：
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Liaoning, Peoples R China
[2] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Liaoning, Peoples R China
来源：
APPLIED MATHEMATICS AND COMPUTATION | 2019年 / 359卷
基金：
中国国家自然科学基金;
关键词：
Fuzzy systems; Time-varying delays; Event-based; Reduced-order fuzzy filtering; SAMPLED-DATA SYNCHRONIZATION; COMPLEX DYNAMICAL NETWORKS; NONLINEAR-SYSTEMS; STATE ESTIMATION; JUMP SYSTEMS; DESIGN;
D O I：
10.1016/j.amc.2019.04.061
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
This paper investigates the event-based reduced-order fuzzy filtering problem for nonlinear networked control systems with network-induced time-varying delays. A novel fuzzy filter design approach is proposed to analyze the fuzzy systems under a reduced-order scheme. The problem of mismatched membership functions is presented in the fuzzy filtering to simplify implementation complexity and increase design flexibility of the designed reduced-order filter. In addition, the integrands of the Lyapunov-Krasovskii functional are dependent of membership functions and the existence conditions of the fuzzy filtering are given by utilizing a linearization approach. Compared with the existing reduced-order filter design approaches, the time-derivatives of membership functions are considered in the analysis process for reducing the conservativeness of obtaining the maximum delay bounds. Finally, a simulation result is given to show the effectiveness and advantages of the analysis scheme. (C) 2019 Elsevier Inc. All rights reserved.
引用
收藏
页码：71 / 83
页数：13
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