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

  • Liu, Yajuan; 
  • Liu, Shuhan; 
  • Liu, Yuzhen; 
  • Lee, S. M.
Citations

WEB OF SCIENCE

14
Citations

SCOPUS

14

초록

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.(c) 2023 The Franklin Institute. Published by Elsevier Inc. All rights reserved.

키워드

NEURAL-NETWORKS
제목
Adaptive event-triggered dissipative control for semi-Markovian jump systems with stochastic deception attack
저자
Liu, Yajuan; Liu, Shuhan; Liu, Yuzhen; Lee, S. M.
DOI
10.1016/j.jfranklin.2023.09.037
발행일
2023-11
유형
Article
저널명
Journal of the Franklin Institute
권
360
호
16
페이지
12358 ~ 12377