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dc.contributor.authorArbo, Mathias Hauan
dc.contributor.authorGrøtli, Esten Ingar
dc.contributor.authorGravdahl, Jan Tommy
dc.date.accessioned2017-12-04T07:24:18Z
dc.date.available2017-12-04T07:24:18Z
dc.date.created2017-12-01T13:27:54Z
dc.date.issued2017
dc.identifier.citationIEEE International Conference on Automation Science and Engineering, 2017, pp 6nb_NO
dc.identifier.issn2161-8070
dc.identifier.urihttp://hdl.handle.net/11250/2468855
dc.description.abstractIn this article the model predictive path following controller and the model predictive trajectory tracking con-troller are compared for a robotic manipulator. We consider both the Runge-Kutta and collocation based discretization. We show how path-following can stop at obstructions in a way trajectory tracking cannot. We give simulations for a two-link manipulator, and discuss the real-time viability of our implementations.nb_NO
dc.language.isoengnb_NO
dc.titleOn Model Predictive Path Following and Trajectory Tracking for Industrial Robotsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.journalIEEE International Conference on Automation Science and Engineeringnb_NO
dc.identifier.cristin1521599
dc.relation.projectNorges forskningsråd: 237900nb_NO
cristin.unitcode7401,90,23,0
cristin.unitnameAnvendt kybernetikk
cristin.ispublishedfalse
cristin.fulltextpostprint
cristin.qualitycode1


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