Adaptive event-triggered dissipative control for semi-Markovian jump systems with stochastic deception attack

Yajuan Liu, Shuhan Liu, Yuzhen Liu, S. M. Lee

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

This paper addresses the adaptive event-triggered (AET) stabilization problem for semi-Markovian jump systems (SMJSs) with deception attack. In the proposed AET control scheme, the threshold is adaptively updated unlike the existing event-triggered (ET) mechanisms, which can reduce communication pressure. By resorting to a mode-dependent Lyapunov functional, the stochastic stability and dissipative performance of SMJSs are guaranteed. In addition, according to stability conditions, the corresponding mode-dependent gain parameters are designed. At last, two numerical examples are given to demonstrate the effectiveness and applicability of the proposed theoretic results.

Original languageEnglish
Pages (from-to)12358-12377
Number of pages20
JournalJournal of the Franklin Institute
Volume360
Issue number16
DOIs
StatePublished - Nov 2023

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