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dc.contributor.authorBasso, Erlend Andreas
dc.contributor.authorSchmidt-Didlaukies, Henrik
dc.contributor.authorPettersen, Kristin Ytterstad
dc.contributor.authorGravdahl, Jan Tommy
dc.date.accessioned2023-12-08T07:23:01Z
dc.date.available2023-12-08T07:23:01Z
dc.date.created2023-11-10T14:18:28Z
dc.date.issued2023
dc.identifier.citationIFAC-PapersOnLine. 2023, 56 (1), 120-125.en_US
dc.identifier.issn2405-8963
dc.identifier.urihttps://hdl.handle.net/11250/3106526
dc.description.abstractIn this paper, we develop multiple synergistic hybrid feedback control laws for mechanical systems on matrix Lie groups with left-invariant metrics. With the goal of globally asymptotically tracking a desired reference trajectory, we propose a hybrid proportional-derivative (PD) type control law and an output feedback version which only utilizes configuration measurements. Moreover, to ensure global asymptotic tracking in the presence of a constant and unknown disturbance in the system dynamics, we introduce two novel proportional-integral-derivative (PID) type control laws with slightly different properties in terms of gain selection and integral action. The theoretical developments are validated through numerical simulation of an underwater vehicle.en_US
dc.language.isoengen_US
dc.publisherIFACen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleSynergistic PID and Output Feedback Control on Matrix Lie Groupsen_US
dc.title.alternativeSynergistic PID and Output Feedback Control on Matrix Lie Groupsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber120-125en_US
dc.source.volume56en_US
dc.source.journalIFAC-PapersOnLineen_US
dc.source.issue1en_US
dc.identifier.doi10.1016/j.ifacol.2023.02.021
dc.identifier.cristin2195144
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Med mindre annet er angitt, så er denne innførselen lisensiert som Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal