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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| Veröffentlicht in: | Circuits, systems, and signal processing Jg. 44; H. 1; S. 24 - 43 |
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| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
New York
Springer US
01.01.2025
Springer Nature B.V |
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| ISSN: | 0278-081X, 1531-5878 |
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| Abstract | 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. |
|---|---|
| AbstractList | 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. 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. |
| Author | Ma, Weiguo Zhou, Yuanqiang Lai, Xin Gao, Furong |
| Author_xml | – sequence: 1 givenname: Weiguo orcidid: 0000-0002-6396-6473 surname: Ma fullname: Ma, Weiguo email: wgma@ntu.edu.cn organization: School of Electrical Engineering, Nantong University – sequence: 2 givenname: Yuanqiang surname: Zhou fullname: Zhou, Yuanqiang organization: College of Electronic and Information Engineering, Tongji University – sequence: 3 givenname: Xin surname: Lai fullname: Lai, Xin organization: School of Mechanical Engineering, University of Shanghai for Science and Technology – sequence: 4 givenname: Furong surname: Gao fullname: Gao, Furong organization: Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology |
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| Keywords | filter Discrete-time nonlinear system DoS attacks Event-triggered communication |
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filtering for a class of discrete-time nonlinear systems subject to denial-of-service (DoS) attacks. Since the... This paper investigates event-triggered H∞ filtering for a class of discrete-time nonlinear systems subject to denial-of-service (DoS) attacks. Since the... |
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| SubjectTerms | 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 |
| Title | Event-Triggered H∞ Filtering for A Class of Nonlinear Systems Under DoS Attacks |
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