Finite-time distributed resilient state estimation subject to hybrid cyber-attacks: a new dynamic event-triggered case

被引：53

作者：

Sun, Ying ^{[1
]}

Tian, Xin ^{[2
]}

Wei, Guoliang ^{[1
]}

机构：

[1] Univ Shanghai Sci & Technol, Business Sch, Shanghai 200093, Peoples R China

[2] Univ Shanghai Sci & Technol, Coll Sci, Shanghai, Peoples R China

来源：

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 2022年 / 53卷 / 13期

关键词：

Sensor networks; cyber-attacks; dynamic event-triggered mechanisms; distributed state estimation; finite-time boundedness; SYSTEMS SUBJECT; DESIGN;

D O I：

10.1080/00207721.2022.2083256

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 is concerned with the issues of finite-time distributed resilient state estimation subject to hybrid cyber-attacks. The information exchanges among estimators are governed by an improved dynamic event-triggered mechanism, in which the time-varying threshold with predetermined upper and lower bounds is updated by artificial internal dynamics. With the help of the Lyapunov stability theory combined with the S-procedure, a sufficient condition is developed such that the augmented error dynamics are stochastic finite-time bounded. Furthermore, the desired estimator gains are acquired in terms of the solution to certain matrix inequalities which involve the information of communication topology, cyber-attack probabilities as well as the uncertainty of gain matrices. Finally, the effectiveness of the designed distributed state estimator is illustrated by a numerical example.

引用

页码：2832 / 2844

页数：13

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