Parametric identification of Hybrid Linear-Time-Periodic Systems

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dc.citation.epage12en_US
dc.citation.issueNumber9en_US
dc.citation.spage7en_US
dc.citation.volumeNumber49en_US
dc.contributor.authorUyanık, İ.en_US
dc.contributor.authorSaranlı U.en_US
dc.contributor.authorMorgϋl, Ö.en_US
dc.contributor.authorAnkaralı, M. M.en_US
dc.date.accessioned2018-04-12T10:54:51Z
dc.date.available2018-04-12T10:54:51Z
dc.date.issued2016en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractIn this paper, we present a state-space system identification technique for a class of hybrid LTP systems, formulated in the frequency domain based on input-output data. Other than a few notable exceptions, the majority of studies in the state-space system identification literature (e.g. subspace methods) focus only on LTI systems. Our goal in this study is to develop a technique for estimating time-periodic system and input matrices for a hybrid LTP system, assuming that full state measurements are available. To this end, we formulate our problem in a linear regression framework using Fourier transformations, and estimate Fourier series coefficients of the time-periodic system and input matrices using a least-squares solution. We illustrate the estimation accuracy of our method for LTP system dynamics using a hybrid damped Mathieu function as an example. © 2016en_US
dc.identifier.doi10.1016/j.ifacol.2016.07.479en_US
dc.identifier.issn2405-8963
dc.identifier.urihttp://hdl.handle.net/11693/36830
dc.language.isoEnglishen_US
dc.publisherElsevier B.V.en_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.ifacol.2016.07.479en_US
dc.source.titleIFAC-PapersOnLineen_US
dc.subjectHybrid systemsen_US
dc.subjectLinear time periodic systemsen_US
dc.subjectState-space identificationen_US
dc.subjectFourier seriesen_US
dc.subjectFourier transformsen_US
dc.subjectFrequency domain analysisen_US
dc.subjectHybrid systemsen_US
dc.subjectLinear systemsen_US
dc.subjectMathematical transformationsen_US
dc.subjectMatrix algebraen_US
dc.subjectReligious buildingsen_US
dc.subjectFourier transformationsen_US
dc.subjectInput-output dataen_US
dc.subjectLeast squares solutionsen_US
dc.subjectLinear time-periodic systemen_US
dc.subjectParametric identificationen_US
dc.subjectState measurementsen_US
dc.subjectState space systemsen_US
dc.subjectTime-periodic systemen_US
dc.subjectLinear transformationsen_US
dc.titleParametric identification of Hybrid Linear-Time-Periodic Systemsen_US
dc.typeArticleen_US

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