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

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 lo...

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Published inInternational journal of systems science Vol. 53; no. 13; pp. 2832 - 2844
Main Authors Sun, Ying, Tian, Xin, Wei, Guoliang
Format Journal Article
LanguageEnglish
Published London Taylor & Francis 03.10.2022
Taylor & Francis Ltd
Subjects
cyber-attacks
Cybersecurity
distributed state estimation
dynamic event-triggered mechanisms
Dynamic stability
finite-time boundedness
Lower bounds
Sensor networks
State estimation
Topology
Online AccessGet full text
ISSN0020-7721
1464-5319
DOI10.1080/00207721.2022.2083256

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Abstract 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.
AbstractList 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.
Author Sun, Ying
Tian, Xin
Wei, Guoliang
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  fullname: Tian, Xin
  organization: University of Shanghai for Science and Technology
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  givenname: Guoliang
  surname: Wei
  fullname: Wei, Guoliang
  email: guoliang.wei@usst.edu.cn
  organization: University of Shanghai for Science and Technology
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SubjectTerms cyber-attacks
Cybersecurity
distributed state estimation
dynamic event-triggered mechanisms
Dynamic stability
finite-time boundedness
Lower bounds
Sensor networks
State estimation
Topology
Title Finite-time distributed resilient state estimation subject to hybrid cyber-attacks: a new dynamic event-triggered case
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