Frequency-domain subspace ıdentification of linear time periodic (LTP) systems

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buir.contributor.authorMorgül, Ömer
dc.citation.epage2536en_US
dc.citation.issueNumber6en_US
dc.citation.spage2529en_US
dc.citation.volumeNumber64en_US
dc.contributor.authorUyanik, I.en_US
dc.contributor.authorSaranli, U.en_US
dc.contributor.authorAnkaralı, M.en_US
dc.contributor.authorCowan, N. J.en_US
dc.contributor.authorMorgül, Ömeren_US
dc.date.accessioned2019-02-21T16:05:16Z
dc.date.available2019-02-21T16:05:16Z
dc.date.issued2019en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractThis note proposes a new methodology for subspace-based state-space identification for linear time-periodic (LTP) systems. Since LTP systems can be lifted to equivalent linear time-invariant (LTI) systems, we first lift input-output data from the unknown LTP system as if it was collected from an equivalent LTI system. Then, we use frequency-domain subspace identification methods to find an LTI system estimate. Subsequently, we propose a novel method to obtain a time-periodic realization for the estimated lifted LTI system by exploiting the specific parametric structure of Fourier series coefficients of the frequency-domain lifting method. Our method can be used to both obtain state-space estimates for unknown LTP systems as well as to obtain Floquet transforms for known LTP systems. IEEE
dc.identifier.doi10.1109/TAC.2018.2867360
dc.identifier.issn0018-9286
dc.identifier.urihttp://hdl.handle.net/11693/50242
dc.language.isoEnglish
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.isversionofhttps://doi.org/10.1109/TAC.2018.2867360
dc.source.titleIEEE Transactions on Automatic Controlen_US
dc.subjectlinear time-periodic systemsen_US
dc.subjectSubspace methodsen_US
dc.subjectSystem identificationen_US
dc.subjectTimevarying systemsen_US
dc.titleFrequency-domain subspace ıdentification of linear time periodic (LTP) systemsen_US
dc.typeArticleen_US

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