Fuzzy H∞ Filtering for Nonlinear Networked Systems Subject to Sensor Saturations

被引：0
|
作者：
Li X.-Y. [1 ,2 ]
Yin S. [1 ]
Sun S.-L. [1 ]
机构：
[1] Department of Automation, School of Electronic Engineering, Heilongjiang University, Harbin
[2] School of Electrical and Electronic Engineering, Shanghai Institute of Technology, Shanghai
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2021年 / 47卷 / 05期
基金：
中国国家自然科学基金; 黑龙江省自然科学基金;
关键词：
H[!sub]∞[!/sub] filter; Networked system; Packet dropout; Sensor saturation; T-S fuzzy model; Time delay;
D O I：
10.16383/j.aas.c180778
中图分类号：
学科分类号：
摘要：
The H∞ filter design problem is investigated for T-S fuzzy-model-based nonlinear networked systems. The existing of transmission delay makes that there may be one or multiple data, even no data arriving at the receiver side within one sampling period. A redundant strategy is proposed to solve the problem of sensor failure caused by sensor saturation. In order to reduce the conservatism, the fuzzy-dependent-basis Lyapunov function is chosen to analyze the stability of filtering error systems and a sufficient condition is given to make the filtering error system mean-square asymptotically stable with a specified H∞ performance. The parameters of the filter are obtained by solving a set of linear matrix inequalities (LMIs). The simulation results illustrate the effectiveness of the algorithm. Copyright © 2021 Acta Automatica Sinica. All rights reserved.
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页码：1149 / 1158
页数：9
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