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dc.contributor.authorAkçay, Hüseyin
dc.contributor.authorTürkay, Semiha
dc.contributor.editorPatino, D
dc.contributor.editorYime, E
dc.date.accessioned2019-10-21T20:11:35Z
dc.date.available2019-10-21T20:11:35Z
dc.date.issued2017
dc.identifier.isbn978-1-5386-0398-7
dc.identifier.urihttps://hdl.handle.net/11421/20262
dc.description3rd IEEE Colombian Conference on Automatic Control (CCAC) -- OCT 18-20, 2017 -- Cartagena, COLOMBIAen_US
dc.descriptionWOS: 000427290700080en_US
dc.description.abstractIn this paper, identification of multi-input/multioutput (Ml MO) state-space models in the innovation form by a regularized-nuclear norm optimization based subspace algorithm is studied. Parametrization issues arc carefully addressed for MIMO state-space models. The optimization problem formulated in this paper allows one to utilize a variety of norms in the objective function including the nuclear and the quadratic norms without affecting the parametrization results. A numerical example illustrates the results derived in the paper.en_US
dc.description.sponsorshipIEEE, IEEE Colombia Sect, IEEE Colombia Sect CSS Chapteren_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSystem Identificationen_US
dc.subjectPower Spectrumen_US
dc.subjectSubspace Methoden_US
dc.subjectNuclear Normen_US
dc.subjectRegularizationen_US
dc.subjectInnovation Modelen_US
dc.titleSpectrum estimation in innovation models by a nuclear norm optimization based algorithmen_US
dc.typeconferenceObjecten_US
dc.relation.journal2017 IEEE 3rd Colombian Conference On Automatic Control (Ccac)en_US
dc.contributor.departmentAnadolu Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümüen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorAkçay, Hüseyin
dc.contributor.institutionauthorTürkay, Semiha


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