Asynchronous finite-time H∞ filtering for linear neutral semi-Markovian jumping systems under hybrid cyber attacks

被引：10

作者：

Cheng, Guifang ^{[1
]}

Liu, Hao ^{[1
]}

机构：

[1] Zhengzhou Univ, Sch Math & Stat, Zhengzhou 450001, Peoples R China

来源：

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2023年 / 360卷 / 03期

基金：

中国国家自然科学基金;

关键词：

STABILITY ANALYSIS; STOCHASTIC-SYSTEMS; STABILIZATION; DELAY; UNCERTAINTIES;

D O I：

10.1016/j.jfranklin.2022.12.025

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 concerns asynchronous finite-time event-triggered H-infinity filtering design for neutral semi-Markovian jumping systems (S-MJSs) under malicious hybrid attacks. Firstly, based on event-triggered mechanism (ETM), time-delay and random cyber attacks, asynchronous filtering is addressed. Secondly, sufficient conditions are deduced that the filtering error system is stochastic H-infinity finite-time bounded (SH infinity FTB). Meanwhile, we provide novel results on stochastic v finite-time contractively bounded (SH infinity FTCB) for the S-MJSs under ETM and cyber attacks. Finally, an example with engineering back-ground is presented to exemplify the effectiveness of our results. (c) 2022 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

引用

页码：1495 / 1522

页数：28

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