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Distributed Consensus with Multi-Equilibria in Directed Networks

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dc.contributor.authorsErkan, O. Feyza; Cihan, Onur; Akar, Mehmet
dc.date.accessioned2022-03-12T16:23:39Z
dc.date.accessioned2026-01-10T17:56:49Z
dc.date.available2022-03-12T16:23:39Z
dc.date.issued2017
dc.description.abstractThis paper studies the multi-equilibria consensus problem for discrete-time multi-agent networks with fixed communication topologies. The agents are assumed to use the traditional distributed averaging based consensus algorithm that relies on neighbor information exchange. Given the graph of the network, two new notions of primary and secondary layer subgraphs are introduced, which are subsequently used in determining the number of consensus equilibria. Numerical examples are provided to illustrate the results.
dc.identifier.doidoiWOS:000427033304121
dc.identifier.eissn2378-5861
dc.identifier.isbn978-1-5090-5992-8
dc.identifier.issn0743-1619
dc.identifier.urihttps://hdl.handle.net/11424/225957
dc.identifier.wosWOS:000427033304121
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartof2017 AMERICAN CONTROL CONFERENCE (ACC)
dc.relation.ispartofseriesProceedings of the American Control Conference
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectCLUSTER CONSENSUS
dc.subjectSYSTEMS
dc.subjectCONVERGENCE
dc.subjectTOPOLOGIES
dc.subjectAGENTS
dc.titleDistributed Consensus with Multi-Equilibria in Directed Networks
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.endPage4685
oaire.citation.startPage4681
oaire.citation.title2017 AMERICAN CONTROL CONFERENCE (ACC)

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