Reliable H∞ filtering of semi-Markov jump systems over a lossy network

被引：7
|
作者：
Gao, Xiaobin [1 ]
Deng, Feiqi [1 ]
Zhang, Hongyang [1 ]
Zeng, Pengyu [1 ]
机构：
[1] South China Univ Technol, Sch Automat Sci & Engn, Guangzhou 510640, Guangdong, Peoples R China
来源：
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2021年 / 358卷 / 08期
基金：
中国国家自然科学基金;
关键词：
RANDOMLY OCCURRING UNCERTAINTIES; LINEAR-SYSTEMS; NONLINEARITIES; STABILITY; DESIGN; MODEL;
D O I：
10.1016/j.jfranklin.2021.03.012
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The problem of time-varying reliable H-infinity filtering for a class of discrete-time semi-Markov jump systems (S-MJSs) over a lossy network is considered in this paper. The communication channels between the system and the filter are supposed to be unreliable, which lead to the existences of randomly occurring sensor nonlinearities and imperfect transmission. Based on the semi-Markov kernel (SMK) method and stochastic analysis technique, some mode-dependent sufficient conditions are derived and time-varying reliable filters are designed, which guarantee that the filtering error system is a-error mean square stable with an H(infinity )performance index. Two numerical examples are given to show the usefulness of proposed filter design method. (C) 2021 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：4528 / 4545
页数：18
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