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dc.contributor.authorHaring, Mark
dc.contributor.authorJohansen, Tor Arne
dc.date.accessioned2017-03-02T08:10:26Z
dc.date.available2017-03-02T08:10:26Z
dc.date.created2016-12-02T15:19:05Z
dc.date.issued2016
dc.identifier.issn0018-9286
dc.identifier.urihttp://hdl.handle.net/11250/2432630
dc.description.abstractAbstract—We introduce a perturbation-based extremum-seeking controller for general nonlinear dynamical plants withan arbitrary number of tunable plant parameters. The controllerensures asymptotic convergence of the plant parameters to theirperformance-optimizing values for any initial plant conditionunder the assumptions in this work. The key to this result isthat the amplitude and the frequencies of the perturbations,as well as other tuning parameters of the controller, are timevarying. Remarkably, the time-varying tuning parameters can bechosen such that asymptotic convergence is achieved for all plantsthat satisfy the assumptions, thereby guaranteeing stability of theresulting closed-loop system of plant and controller regardless oftuning.nb_NO
dc.language.isoengnb_NO
dc.publisherIEEEnb_NO
dc.titleAsymptotic stability of perturbation-based extremum-seeking control for nonlinear plantsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.source.volumePPnb_NO
dc.source.journalIEEE Transactions on Automatic Controlnb_NO
dc.source.issue99nb_NO
dc.identifier.doi10.1109/TAC.2016.2603607
dc.identifier.cristin1407760
dc.description.localcodeAuthor preprint.nb_NO
cristin.unitcode194,63,25,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode2


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