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dc.contributor.authorMunir, Sarmad
dc.contributor.authorHovd, Morten
dc.contributor.authorFang, Zhou
dc.contributor.authorOlaru, Sorin
dc.contributor.authorKemeny, Andras
dc.date.accessioned2018-01-19T12:42:33Z
dc.date.available2018-01-19T12:42:33Z
dc.date.created2017-12-27T21:16:19Z
dc.date.issued2017
dc.identifier.citationIFAC-PapersOnLine. 2017, 50 (1), 10729-10734.nb_NO
dc.identifier.issn2405-8963
dc.identifier.urihttp://hdl.handle.net/11250/2478372
dc.description.abstractThe performance of a driving simulator depends on the efficiency of the embedded motion cueing algorithm. An explicit model predictive control was established recently as a pertinent design framework for the motion cueing algorithm. The complexity of the explicit solution increases manifold when the human vestibular model is considered. The present paper focuses on the complexity reduction of explicit solution using low complexity contractive sets for the motion cueing algorithm. The low-complexity explicit controller is formulated for the efficient control of the motion cueing system for the ULTIMATE driving simulator available in Renault.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.titleComplexity reduction in motion cueing algorithm for the ULTIMATE driving simulatornb_NO
dc.typeJournal articlenb_NO
dc.description.versionsubmittedVersionnb_NO
dc.source.pagenumber10729-10734nb_NO
dc.source.volume50nb_NO
dc.source.journalIFAC-PapersOnLinenb_NO
dc.source.issue1nb_NO
dc.identifier.doi10.1016/j.ifacol.2017.08.2256
dc.identifier.cristin1532263
dc.description.localcodeThis is a submitted manuscript of an article published by Elsevier Ltd in IFAC-PapersOnLine, 18 October 2017.nb_NO
cristin.unitcode194,63,25,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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