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

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∞ performance lever γ. In order to improve the data...

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Bibliographic Details
Published inJournal of the Franklin Institute Vol. 361; no. 7; p. 106781
Main Authors Xia, Weifeng, Zhang, Lei, Ma, Jiajun, Li, Yongmin, Du, Shuxin
Format Journal Article
LanguageEnglish
Published Elsevier Inc 01.05.2024
Subjects
Adaptive
Event-triggered strategy
Markov jump systems
Non-fragile filter
Non-fragile filter
Adaptive
Markov jump systems
Event-triggered strategy
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Summary: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∞ performance lever γ. 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.
ISSN:0016-0032
1879-2693
DOI:10.1016/j.jfranklin.2024.106781