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Article: Distributed Optimization With Event-Triggered Communication via Input Feedforward Passivity

TitleDistributed Optimization With Event-Triggered Communication via Input Feedforward Passivity
Authors
KeywordsDistributed optimization
input feedforward passivity
event-triggered control
Issue Date2021
PublisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7782633
Citation
IEEE Control Systems Letters, 2021, v. 5 n. 1, p. 283-288 How to Cite?
AbstractIn this letter, we address the distributed optimization problem with event-triggered communication by the notion of input feedforward passivity (IFP). First, we analyze the distributed continuous-time algorithm over uniformly jointly strongly connected balanced digraphs in an IFP-based framework. Then, we propose a distributed event-triggered communication mechanism for this algorithm. Next, we discretize the continuous-time algorithm by the forward Euler method with a constant stepsize irrelevant to network size, and show that the discretization can be seen as a stepsize-dependent passivity degradation of the input feedforward passivity. Thus, the discretized system preserves the IFP property and enables the same event-triggered communication mechanism but without Zeno behavior due to the discrete-time nature. Finally, a numerical example is presented to illustrate our results.
Persistent Identifierhttp://hdl.handle.net/10722/293152
ISSN
2023 Impact Factor: 2.4
2023 SCImago Journal Rankings: 1.597
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLI, M-
dc.contributor.authorSU, L-
dc.contributor.authorLiu, T-
dc.date.accessioned2020-11-23T08:12:34Z-
dc.date.available2020-11-23T08:12:34Z-
dc.date.issued2021-
dc.identifier.citationIEEE Control Systems Letters, 2021, v. 5 n. 1, p. 283-288-
dc.identifier.issn2475-1456-
dc.identifier.urihttp://hdl.handle.net/10722/293152-
dc.description.abstractIn this letter, we address the distributed optimization problem with event-triggered communication by the notion of input feedforward passivity (IFP). First, we analyze the distributed continuous-time algorithm over uniformly jointly strongly connected balanced digraphs in an IFP-based framework. Then, we propose a distributed event-triggered communication mechanism for this algorithm. Next, we discretize the continuous-time algorithm by the forward Euler method with a constant stepsize irrelevant to network size, and show that the discretization can be seen as a stepsize-dependent passivity degradation of the input feedforward passivity. Thus, the discretized system preserves the IFP property and enables the same event-triggered communication mechanism but without Zeno behavior due to the discrete-time nature. Finally, a numerical example is presented to illustrate our results.-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7782633-
dc.relation.ispartofIEEE Control Systems Letters-
dc.rightsIEEE Control Systems Letters. Copyright © Institute of Electrical and Electronics Engineers.-
dc.rights©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectDistributed optimization-
dc.subjectinput feedforward passivity-
dc.subjectevent-triggered control-
dc.titleDistributed Optimization With Event-Triggered Communication via Input Feedforward Passivity-
dc.typeArticle-
dc.identifier.emailLiu, T: taoliu@eee.hku.hk-
dc.identifier.authorityLiu, T=rp02045-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/LCSYS.2020.3001998-
dc.identifier.scopuseid_2-s2.0-85087464759-
dc.identifier.hkuros318845-
dc.identifier.volume5-
dc.identifier.issue1-
dc.identifier.spage283-
dc.identifier.epage288-
dc.identifier.isiWOS:000543958500017-
dc.publisher.placeUnited States-
dc.identifier.issnl2475-1456-

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