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dc.contributor.authorWang, Kai
dc.contributor.authorGros, Sebastien Nicolas
dc.date.accessioned2023-03-22T12:04:38Z
dc.date.available2023-03-22T12:04:38Z
dc.date.created2023-01-17T16:53:38Z
dc.date.issued2022
dc.identifier.citation2022 IEEE 61st Conference on Decision and Control (CDC)en_US
dc.identifier.issn0743-1546
dc.identifier.urihttps://hdl.handle.net/11250/3059830
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.titleSolving Mission-Wide Chance-Constrained Optimal Control Using Dynamic Programmingen_US
dc.title.alternativeSolving Mission-Wide Chance-Constrained Optimal Control Using Dynamic Programmingen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionacceptedVersionen_US
dc.rights.holder© 2022 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 worksen_US
dc.source.journalIEEE Conference on Decision and Control. Proceedingsen_US
dc.identifier.doi10.1109/CDC51059.2022.9993003
dc.identifier.cristin2108882
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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