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

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  • Ying Sun
  • Xin Tian
  • Guoliang Wei

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.

Suggested Citation

  • Ying Sun & Xin Tian & Guoliang Wei, 2022. "Finite-time distributed resilient state estimation subject to hybrid cyber-attacks: a new dynamic event-triggered case," International Journal of Systems Science, Taylor & Francis Journals, vol. 53(13), pages 2832-2844, October.
    • Handle: RePEc:taf:tsysxx:v:53:y:2022:i:13:p:2832-2844
    DOI: 10.1080/00207721.2022.2083256
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    Cited by:

    1. Guo, Xinchen & Wei, Guoliang, 2023. "Distributed sliding mode consensus control for multiple discrete-Time Euler-Lagrange systems," Applied Mathematics and Computation, Elsevier, vol. 446(C).

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