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dc.contributor.authorShima, Ryotaroen
dc.contributor.authorMoriyasu, Ryutaen
dc.contributor.authorKawaguchi, Shoen
dc.contributor.authorKashima, Kenjien
dc.contributor.alternative加嶋, 健司ja
dc.date.accessioned2023-10-05T00:32:10Z-
dc.date.available2023-10-05T00:32:10Z-
dc.date.issued2023-
dc.identifier.urihttp://hdl.handle.net/2433/285326-
dc.description.abstractThis letter develops a framework for differentiating sparse optimal control inputs with respect to cost parameters. The difficulty lies in the non-smoothness induced by a sparsity-enhancing regularizer. To avoid this, we identify the optimal inputs as a unique zero point of a function using the proximal technique. This enables us to characterize the differentiability and employ the implicit function theorem. We also demonstrate the effectiveness of our approach using a numerical example of inverse optimal control.en
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.rights© 2023 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. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。en
dc.titleDifferentiable Sparse Optimal Controlen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleIEEE Control Systems Lettersen
dc.identifier.volume7-
dc.identifier.spage3126-
dc.identifier.epage3131-
dc.relation.doi10.1109/LCSYS.2023.3289269-
dc.textversionauthor-
dcterms.accessRightsopen access-
dc.identifier.eissn2475-1456-
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