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

被引：9

作者：

Liu, Yajuan ^{[1
]}

Liu, Shuhan ^{[1
]}

Liu, Yuzhen ^{[1
]}

Lee, S. M. ^{[2
]}

机构：

[1] North China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, Peoples R China

[2] Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea

来源：

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2023年 / 360卷 / 16期

基金：

新加坡国家研究基金会;

关键词：

NEURAL-NETWORKS;

D O I：

10.1016/j.jfranklin.2023.09.037

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 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.

引用

页码：12358 / 12377

页数：20

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