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

• Published in: International journal of systems science Vol. 53; no. 13; pp. 2832 - 2844
• Main Authors: Sun, Ying, Tian, Xin, Wei, Guoliang
• Format: Journal Article
• Language: English
• 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
• ISSN: 0020-7721; 1464-5319
• DOI: 10.1080/00207721.2022.2083256

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.