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dc.contributor.authorIvanov, Ivan
dc.contributor.authorImsland, Lars Struen
dc.contributor.authorBogdanova, Boryana
dc.date.accessioned2018-04-05T07:18:17Z
dc.date.available2018-04-05T07:18:17Z
dc.date.created2016-12-15T23:34:26Z
dc.date.issued2017
dc.identifier.citationInternational Journal of Systems Science. 2017, 48 (4), 729-737.nb_NO
dc.identifier.issn0020-7721
dc.identifier.urihttp://hdl.handle.net/11250/2492711
dc.description.abstractThe paper studies N-player linear quadratic differential games on an infinite time horizon with deterministic feedback information structure. It introduces two iterative methods (the Newton method as well as its accelerated modification) in order to compute the stabilising solution of a set of generalised algebraic Riccati equations. The latter is related to the Nash equilibrium point of the considered game model. Moreover, we derive the sufficient conditions for convergence of the proposed methods. Finally, we discuss two numerical examples so as to illustrate the performance of both of the algorithms.nb_NO
dc.language.isoengnb_NO
dc.publisherTaylor & Francisnb_NO
dc.titleIterative algorithms for computing the feedback Nash equilibrium point for positive systemsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber729-737nb_NO
dc.source.volume48nb_NO
dc.source.journalInternational Journal of Systems Sciencenb_NO
dc.source.issue4nb_NO
dc.identifier.doi10.1080/00207721.2016.1212431
dc.identifier.cristin1413709
dc.relation.projectNorges forskningsråd: 223254nb_NO
dc.description.localcodeThis is an [Accepted Manuscript] of an article published by Taylor & Francis in [International Journal of Systems Science] on [29 Jul 2016], available at https://www.tandfonline.com/doi/full/10.1080/00207721.2016.1212431nb_NO
cristin.unitcode194,63,25,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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