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Article: Distributed event-triggered control for asymptotic synchronization of dynamical networks

TitleDistributed event-triggered control for asymptotic synchronization of dynamical networks
Authors
KeywordsDistributed event-triggered control
Asymptotic synchronization
Dynamical networks
Issue Date2017
PublisherElsevier. The Journal's web site is located at http://www.elsevier.com/locate/automatica
Citation
Automatica, 2017, v. 86, p. 199-204 How to Cite?
AbstractThis paper studies synchronization of dynamical networks with event-based communication. Firstly, two estimators are introduced into each node, one to estimate its own state, and the other to estimate the average state of its neighbours. Then, with these two estimators, a distributed event-triggering rule (ETR) with a dwell time is designed such that the network achieves synchronization asymptotically with no Zeno behaviours. The designed ETR only depends on the information that each node can obtain, and thus can be implemented in a decentralized way.
Persistent Identifierhttp://hdl.handle.net/10722/259256
ISSN
2017 Impact Factor: 6.126
2015 SCImago Journal Rankings: 4.315
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLiu, T-
dc.contributor.authorCao, M-
dc.contributor.authorDe Persis, C-
dc.contributor.authorHendrickx, JM-
dc.date.accessioned2018-09-03T04:03:59Z-
dc.date.available2018-09-03T04:03:59Z-
dc.date.issued2017-
dc.identifier.citationAutomatica, 2017, v. 86, p. 199-204-
dc.identifier.issn0005-1098-
dc.identifier.urihttp://hdl.handle.net/10722/259256-
dc.description.abstractThis paper studies synchronization of dynamical networks with event-based communication. Firstly, two estimators are introduced into each node, one to estimate its own state, and the other to estimate the average state of its neighbours. Then, with these two estimators, a distributed event-triggering rule (ETR) with a dwell time is designed such that the network achieves synchronization asymptotically with no Zeno behaviours. The designed ETR only depends on the information that each node can obtain, and thus can be implemented in a decentralized way.-
dc.languageeng-
dc.publisherElsevier. The Journal's web site is located at http://www.elsevier.com/locate/automatica-
dc.relation.ispartofAutomatica-
dc.subjectDistributed event-triggered control-
dc.subjectAsymptotic synchronization-
dc.subjectDynamical networks-
dc.titleDistributed event-triggered control for asymptotic synchronization of dynamical networks-
dc.typeArticle-
dc.identifier.emailLiu, T: taoliu@eee.hku.hk-
dc.identifier.authorityLiu, T=rp02045-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.automatica.2017.08.026-
dc.identifier.hkuros288516-
dc.identifier.volume86-
dc.identifier.spage199-
dc.identifier.epage204-
dc.identifier.isiWOS:000414115000022-
dc.publisher.placeUnited Kingdom-

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