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dc.contributor.advisorFossen, Thor Ingenb_NO
dc.contributor.advisorPerez, Tristannb_NO
dc.contributor.authorSmalø, Sivnb_NO
dc.date.accessioned2014-12-19T14:01:14Z
dc.date.available2014-12-19T14:01:14Z
dc.date.created2010-09-02nb_NO
dc.date.issued2007nb_NO
dc.identifier346887nb_NO
dc.identifierntnudaim:3370nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/259514
dc.description.abstractThe thesis includs how the I.R.Fx toolboxes are developed. Two system identification methods are used in this thesis, realization theory and frequency domain regression. The implementation aspects of the toolbox show that numerical errors will occur. This is due to the data available for identification and because of discrete time calculations. A pole/zero of systems identified using realization theory shows that the zeros will be more affected by the changing sampling time. This result may however not be conclusive.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for teknisk kybernetikknb_NO
dc.subjectntnudaimno_NO
dc.subjectSIE3 teknisk kybernetikkno_NO
dc.subjectReguleringsteknikkno_NO
dc.titleSystem Identification of Retardation Forces Using Frequency Domain Datanb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber103nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for teknisk kybernetikknb_NO


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