Event-Triggered H∞ Filtering for A Class of Nonlinear Systems Under DoS Attacks

This paper investigates event-triggered H ∞ filtering for a class of discrete-time nonlinear systems subject to denial-of-service (DoS) attacks. Since the communication network in the networked systems is vulnerable to malicious cyber-attacks, this paper models DoS attacks as a Bernoulli random vari...

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Vydáno v:Circuits, systems, and signal processing Ročník 44; číslo 1; s. 24 - 43
Hlavní autoři: Ma, Weiguo, Zhou, Yuanqiang, Lai, Xin, Gao, Furong
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.01.2025
Springer Nature B.V
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ISSN:0278-081X, 1531-5878
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Shrnutí:This paper investigates event-triggered H ∞ filtering for a class of discrete-time nonlinear systems subject to denial-of-service (DoS) attacks. Since the communication network in the networked systems is vulnerable to malicious cyber-attacks, this paper models DoS attacks as a Bernoulli random variable, which results in stochastic filtering error system. Besides, we use adaptive event-triggered communication to ensure that the least amount of information is transmitted over the network. For the filtering error system under the effect of event-triggered communication and DoS attacks, we provide sufficient conditions on guaranteeing the stability and prescribed H ∞ performance, where the H ∞ filter and event-triggered parameters are co-designed using the linear matrix inequality approach. Finally, two illustrative examples are provided to demonstrate the effectiveness of the proposed method.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:0278-081X
1531-5878
DOI:10.1007/s00034-024-02775-2