Improved event-based fault detection filter for networked fuzzy systems under DoS attacks

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Publication Details

Author list: Lun D.; Zhang H.; Liu Y.; Zhao N.; Assawinchaichote W.

Publisher: Elsevier

Publication year: 2025

Volume number: 227

ISSN: 0165-1684

eISSN: 1872-7557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203797638&doi=10.1016%2fj.sigpro.2024.109699&partnerID=40&md5=7880d4c030c343a6ee9d6e00505f9f86

Languages: English-Great Britain (EN-GB)

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Abstract

This paper investigates an improved event-based fault detection method for networked fuzzy systems under denial-of-service (DoS) attacks. In order to solve the bandwidth occupation problem of communication network, a resilient event-triggered transmission strategy is developed. Additionally, a fault detection filter is designed to estimate the time of fault occurrence by using the residual signal. Under this framework, a novel Lyapunov functional related to attack parameters is established to analyze the exponential convergence of the error signals, and the filter gains and event-triggered parameters are obtained by solving linear matrix inequalities. The designed functional reduces the conservatism of the stability criteria significantly in contrast with the previous discontinuous Lyapunov functionals. Finally, a simulation example is provided to verify the effectiveness of the proposed method. © 2024 Elsevier B.V.

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