Non-fragile H∞ filtering for delayed discrete-time Markov jump systems: An adaptive event-triggered strategy

被引:5
作者
Xia, Weifeng [1 ,3 ]
Zhang, Lei [1 ]
Ma, Jiajun [1 ]
Li, Yongmin [2 ]
Du, Shuxin [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 Key Lab Intelligent Sensing & Optimal Contr, Huzhou 313000, Peoples R China
来源
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2024年 / 361卷 / 07期
关键词
Non-fragile filter; Markov jump systems; Event-triggered strategy; Adaptive; STABILITY; SUBJECT;
D O I
10.1016/j.jfranklin.2024.106781
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 deals with the problem of non-fragile filter for delayed discrete-time Markov jump systems. The purpose is to design a mode-dependent filter such that the result filtering error system is stochastically stable and satisfies a prescribed H-infinity performance lever gamma. In order to improve the data transmission efficient, an adaptive event-triggered strategy is introduced. Then, with the help of the Lyapunov stability theory and matrix inequality, the sufficient conditions for the solution of the filter design problem proposed are established. Finally, two numerical examples are presented to verification the effectiveness of the proposed method.
引用
收藏
页数:14
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