File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Adaptive event-triggered mechanism for networked control systems under deception attacks with uncertain occurring probability

TitleAdaptive event-triggered mechanism for networked control systems under deception attacks with uncertain occurring probability
Authors
KeywordsAdaptive control
Cyber-attack
Event-triggered control
Networked control system
Issue Date2021
PublisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207721.asp
Citation
International Journal of Systems Science, 2021, v. 52 n. 7, p. 1426-1439 How to Cite?
AbstractThis paper addresses the problem of adaptive event-triggered control of nonlinear networked control systems under deception attacks. An adaptive event-triggered scheme has been utilised to reduce data transmissions via the communication channel. To model the occurrence of the random deception cyber-attacks on the transmitted data, a Bernoulli random variable is employed. Since the probability of occurrence of this random variable is not completely known in practice, this value is considered with uncertainty while almost all the existing methods consider it to be exactly known. By using the Lyapunov–Krasovskii method, sufficient conditions for the stability of the closed-loop system are derived and presented in terms of linear matrix inequalities. In the end, two illustrative examples are provided to demonstrate the effectiveness of the proposed method.
Persistent Identifierhttp://hdl.handle.net/10722/304487
ISSN
2023 Impact Factor: 4.9
2023 SCImago Journal Rankings: 1.851
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorKazemy, A-
dc.contributor.authorLam, J-
dc.contributor.authorZhao, C-
dc.date.accessioned2021-09-23T09:00:43Z-
dc.date.available2021-09-23T09:00:43Z-
dc.date.issued2021-
dc.identifier.citationInternational Journal of Systems Science, 2021, v. 52 n. 7, p. 1426-1439-
dc.identifier.issn0020-7721-
dc.identifier.urihttp://hdl.handle.net/10722/304487-
dc.description.abstractThis paper addresses the problem of adaptive event-triggered control of nonlinear networked control systems under deception attacks. An adaptive event-triggered scheme has been utilised to reduce data transmissions via the communication channel. To model the occurrence of the random deception cyber-attacks on the transmitted data, a Bernoulli random variable is employed. Since the probability of occurrence of this random variable is not completely known in practice, this value is considered with uncertainty while almost all the existing methods consider it to be exactly known. By using the Lyapunov–Krasovskii method, sufficient conditions for the stability of the closed-loop system are derived and presented in terms of linear matrix inequalities. In the end, two illustrative examples are provided to demonstrate the effectiveness of the proposed method.-
dc.languageeng-
dc.publisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207721.asp-
dc.relation.ispartofInternational Journal of Systems Science-
dc.subjectAdaptive control-
dc.subjectCyber-attack-
dc.subjectEvent-triggered control-
dc.subjectNetworked control system-
dc.titleAdaptive event-triggered mechanism for networked control systems under deception attacks with uncertain occurring probability-
dc.typeArticle-
dc.identifier.emailLam, J: jlam@hku.hk-
dc.identifier.authorityLam, J=rp00133-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/00207721.2020.1858205-
dc.identifier.scopuseid_2-s2.0-85105239978-
dc.identifier.hkuros325371-
dc.identifier.volume52-
dc.identifier.issue7-
dc.identifier.spage1426-
dc.identifier.epage1439-
dc.identifier.isiWOS:000598589800001-
dc.publisher.placeUnited Kingdom-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats