Event-triggered filtering for discrete-time Markovian jump systems with additive time-varying delays

被引：33
|
作者：
Xia, Weifeng [1 ]
Xu, Shengyuan [2 ]
Lu, Junwei [3 ]
Li, Yongmin [4 ]
Chu, Yuming [4 ]
Zhang, Zhengqiang [5 ]
机构：
[1] Huzhou Univ, Sch Engn, Huzhou 313000, Peoples R China
[2] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Peoples R China
[3] Nanjing Normal Univ, Sch Elect & Automat Engn, Nanjing 210046, Peoples R China
[4] Huzhou Univ, Sch Sci, Huzhou 313000, Peoples R China
[5] Qufu Normal Univ, Sch Elect Engn & Automat, Rizhao 276826, Peoples R China
来源：
APPLIED MATHEMATICS AND COMPUTATION | 2021年 / 391卷
基金：
中国国家自然科学基金;
关键词：
Event-triggered scheme; Dissipative; Filtering; Additive time-varying delays; Markovian jump systems; NEURAL-NETWORKS; STABILITY ANALYSIS; UNCERTAIN SYSTEMS; DISSIPATIVITY; DESIGN; SYNCHRONIZATION; STABILIZATION;
D O I：
10.1016/j.amc.2020.125630
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
This paper focus on the event-triggered filter design problem for delayed discrete-time Markovian jump systems. Firstly, a new mode-dependent Lyapunov-Krasovskii functional is introduced, where more than one Lyapunov matrices are dependent on jumping modes. Secondly, sufficient conditions are established by employing the Lyapunov stability theory together with Wirtinger-based inequality, under which the filtering error system is stochastically stable with strict dissipative. Thirdly, the co-design scheme of the filter parameters and event-triggered matrices is proposed. Finally, two numerical examples are given to show the usefulness of the proposed scheme. (c) 2020 Elsevier Inc. All rights reserved.
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页数：15
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