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dc.contributor.authorGao, Fan
dc.contributor.authorBrodtkorb, Astrid H.
dc.contributor.authorMo, Sigrid Marie
dc.contributor.authorRen, Zhengru
dc.contributor.authorSørensen, Asgeir Johan
dc.date.accessioned2022-04-05T06:38:37Z
dc.date.available2022-04-05T06:38:37Z
dc.date.created2022-01-20T14:53:04Z
dc.date.issued2021
dc.identifier.citationIFAC-PapersOnLine. 2021, 54 (16), 63-69.en_US
dc.identifier.issn2405-8963
dc.identifier.urihttps://hdl.handle.net/11250/2989746
dc.description.abstractThis paper investigates the application of adaptive backstepping control to a hybrid power system for ship propulsion, using a main diesel engine in conjunction with a battery for auxiliary power supply. Fuel injection delay to the diesel engine is estimated based on Pade approximation, and the pure-feedback term in the ship speed dynamics is approximated by Radial Basis Function (RBF) Neural Network. The closed-loop system is proved to be uniformly ultimately bounded.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleAdaptive Backstepping Control of Ship Speed Tracking and Hybrid Mode Selection.en_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holderThis is the authors' accepted manuscript to an article published by Elsevier.en_US
dc.source.pagenumber63-69en_US
dc.source.volume54en_US
dc.source.journalIFAC-PapersOnLineen_US
dc.source.issue16en_US
dc.identifier.doi10.1016/j.ifacol.2021.10.074
dc.identifier.cristin1986414
dc.relation.projectNorges forskningsråd: 309660en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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