Event-triggered filtering for uncertain semi-Markov jump systems with time-varying delay by using quantized measurement

被引:13
作者
Xia, Weifeng [1 ]
Li, Yongmin [2 ]
Li, Zuxin [3 ]
Jia, Xianglei [4 ]
Chen, Wenbin [5 ]
Chen, Huiyin [1 ]
机构
[1] Huzhou Univ, Sch Engn, Huzhou 313000, Peoples R China
[2] Huzhou Univ, Sch Sci, Huzhou 313000, Peoples R China
[3] Huzhou Coll, Sch Sci & Technol, Huzhou 313000, Peoples R China
[4] Hangzhou Dianzi Univ, Sch Automat, Hangzhou 310018, Peoples R China
[5] Anhui Normal Univ, Sch Phys & Elect Informat, Wuhu 241000, Peoples R China
来源
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2022年 / 359卷 / 13期
基金
中国国家自然科学基金;
关键词
NEURAL-NETWORKS; STATE ESTIMATION; CHAOTIC SYSTEMS; SYNCHRONIZATION; STABILIZATION;
D O I
10.1016/j.jfranklin.2022.06.039
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 focuses on the extended dissipative filter design problem for a class of uncertain semiMarkov jump systems in the discrete-time context, where the parameter uncertainties are assumed to be occurred in a special probabilities way. The aim of this paper is to design a mode-dependent filter ensuring the stochastic stability of the resulting filtering error system. To reduce the burden of communication network, the event-triggered scheme and quantized measurement are employed. By constructing a new Lyapunov functional, the filter design methodology is put forward. Finally, two numerical examples are proposed to demonstrate the usefulness of the filter design methodology. (c) 2022 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:7091 / 7114
页数:24
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