Efficient Solution of Distributed MIP in Control of Networked Systems

dc.date.accessioned2021-02-15T12:00:05Z
dc.date.available2021-02-15T12:00:05Z
dc.date.issued2021-01-25
dc.description.sponsorshipGefördert im Rahmen des Projekts DEALger
dc.identifierdoi:10.17170/kobra-202101283082
dc.identifier.urihttp://hdl.handle.net/123456789/12502
dc.language.isoengeng
dc.relation.doidoi:10.1002/pamm.202000160
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.ddc510
dc.subject.ddc600
dc.subject.swdGemischt-ganzzahlige Optimierungger
dc.subject.swdSteuerungger
dc.subject.swdProblemger
dc.subject.swdNP-hartes Problemger
dc.titleEfficient Solution of Distributed MIP in Control of Networked Systemseng
dc.typeAufsatz
dc.type.versionpublishedVersion
dcterms.abstractCertain classes of optimization‐based control problems stated for networked systems involving hybrid dynamics and logical constraints can be cast into Mixed‐Integer Programming (MIP) problems. Since these belong to the complexity class NP‐hard, the motivation arises to find approximations of the optimal solution by distributed solution efficiently. For the cases that the cost functional is linear or quadratic and the constraints are linear, this paper proposes an alternative to the standard centralized schemes, by employing dual decomposition into a set of local problems of moderate size which can be solved in parallel. Numerical examples demonstrate that the scheme can efficiently approximate the global solution.eng
dcterms.accessRightsopen access
dcterms.creatorLiu, Zonglin
dcterms.creatorStursberg, Olaf
dcterms.source.articlenumbere202000160
dcterms.source.identifierEISSN 1617-7061
dcterms.source.issueIssue 1
dcterms.source.journalProceedings in applied mathematics and mechanics (PAMM)eng
dcterms.source.volumeVolume 20
kup.iskupfalse

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