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dc.contributor.authorIkeda, Takuyaen
dc.contributor.authorKashima, Kenjien
dc.contributor.alternative池田, 卓矢ja
dc.contributor.alternative加嶋, 健司ja
dc.description.abstractIn this letter, we consider the maximization of a quantitative metric of controllability with a constraint of L 0 norm of the control input. Since the optimization problem contains a combinatorial structure, we introduce a convex relaxation problem for the sake of reducing computation burden. We prove the existence of solutions to the main problem and also give a simple condition under which the relaxed problem gives a solution to the main problem. It should be emphasized that the main problem can formulate time-varying control node selection, which attempts to extract when and where exogenous inputs should be provided in order to achieve high controllability of multi-agent systems.en
dc.publisherInstitute of Electrical and Electronics Engineers(IEEE)en
dc.rights© 2018 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.en
dc.rightsThis is not the published version. Please cite only the published version.en
dc.subjectOptimal controlen
dc.subjectlinear systemsen
dc.subjecttime-varying systemsen
dc.subjectsparse optimal controlen
dc.subjectnetworked control systemsen
dc.titleSparsity-Constrained Controllability Maximization With Application to Time-Varying Control Node Selectionen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleIEEE Control Systems Letters
dc.addressGraduate School of Informatics, Kyoto Universityen
dc.addressGraduate School of Informatics, Kyoto Universityen
dcterms.accessRightsopen access-
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