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dc.contributor.authorAndersson, Leif Erik
dc.contributor.authorImsland, Lars Struen
dc.contributor.authorBrekke, Edmund Førland
dc.contributor.authorScibilia, Francesco
dc.date.accessioned2019-04-05T08:21:42Z
dc.date.available2019-04-05T08:21:42Z
dc.date.created2019-01-14T11:51:55Z
dc.date.issued2019
dc.identifier.issn0005-1098
dc.identifier.urihttp://hdl.handle.net/11250/2593430
dc.description.abstractThis article is concerned with the state estimation problem for linear systems with linear state equality constraints. We re-examine constrained Kalman filter variations and propose an alternative derivation of the optimal constrained Kalman filter for time variant systems. This results in an oblique state projection that gives the smallest error covariance. A simple example illustrates the performance of the different Kalman filters.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleOn Kalman filtering with linear state equality constraintsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.volume101nb_NO
dc.source.journalAutomaticanb_NO
dc.identifier.doi10.1016/j.automatica.2018.12.010
dc.identifier.cristin1656150
dc.relation.projectNorges forskningsråd: 223254nb_NO
dc.description.localcode© 2019. This is the authors’ accepted and refereed manuscript to the article. Locked until 6.1.2021 due to copyright restrictions. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/nb_NO
cristin.unitcode194,63,25,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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