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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Circuits, systems, and signal processing Jg. 44; H. 1; S. 24 - 43
Hauptverfasser: Ma, Weiguo, Zhou, Yuanqiang, Lai, Xin, Gao, Furong
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.01.2025
Springer Nature B.V
Schlagworte:
Circuits and Systems
Communication
Communications networks
Communications systems
Computer engineering
Deception
Denial of service attacks
Design
Discrete time systems
Electrical Engineering
Electronics and Microelectronics
Engineering
Filtration
H infinity
Information systems
Instrumentation
Linear matrix inequalities
Nonlinear systems
Random variables
Signal processing
Signal,Image and Speech Processing
filter
Discrete-time nonlinear system
DoS attacks
Event-triggered communication
ISSN:0278-081X, 1531-5878
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0278-081X
1531-5878
DOI:10.1007/s00034-024-02775-2