Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/11545
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dc.contributor.authorEfe, Mehmet Onder-
dc.contributor.authorKürkçü, Burak-
dc.contributor.authorKasnakoğlu, Coşku-
dc.contributor.authorMohamed, Zaharuddin-
dc.contributor.authorLiu, Zhijie-
dc.date.accessioned2024-05-18T16:08:01Z-
dc.date.available2024-05-18T16:08:01Z-
dc.date.issued2024-
dc.identifier.issn1551-3203-
dc.identifier.issn1941-0050-
dc.identifier.urihttps://doi.org/10.1109/TII.2024.3388605-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/11545-
dc.description.abstractIdentification of dynamical systems from frequency response data (FRD) has extensively been studied and effective techniques have been developed. Given different FRD sets obtained from different systems and a fixed state space model structure, is it possible to find a constant parameter vector containing (A, B, C, D) quadruple's numerical content and a FRD-associated mask vector set that approximates the spectral information available in each FRD set? This article proposes a genetic algorithm based optimization approach to determine the real parameter vector (A, B, C, D) and the binary mask vector through a sequential optimization scheme. We study state space models for matching FRD from multiple systems. Results show that the proposed optimization approach solves the problem and compresses multiple dynamical models into a single masked one.en_US
dc.language.isoenen_US
dc.publisherIEEE-Inst Electrical Electronics Engineers Incen_US
dc.relation.ispartofIeee Transactions on Industrial Informaticsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGenetic algorithms (GAs)en_US
dc.subjectidentificationen_US
dc.subjectmasked modelsen_US
dc.subjectoptimizationen_US
dc.subjectstate space modelsen_US
dc.subjectSystem-Identificationen_US
dc.titleMasked Multiple State Space Model Identification Using Frd and Evolutionary Optimizationen_US
dc.typeArticleen_US
dc.typeArticle; Early Accessen_US
dc.departmentTOBB ETÜen_US
dc.identifier.wosWOS:001208860200001en_US
dc.identifier.scopus2-s2.0-85191855737en_US
dc.institutionauthorKasnakoğlu, Coşku-
dc.identifier.doi10.1109/TII.2024.3388605-
dc.authorscopusid7004595398-
dc.authorscopusid56062372800-
dc.authorscopusid24802064500-
dc.authorscopusid7005943603-
dc.authorscopusid59010365100-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
item.openairetypeArticle-
item.openairetypeArticle; Early Access-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.cerifentitytypePublications-
crisitem.author.dept02.5. Department of Electrical and Electronics Engineering-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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