An atom search optimization approach for IIR system identification

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dc.contributor.authorEkinci, Serdar
dc.contributor.authorBudak, Cafer
dc.contributor.authorIzci, Davut
dc.contributor.authorGider, Veysel
dc.date.accessioned2024-04-24T16:24:31Z
dc.date.available2024-04-24T16:24:31Z
dc.date.issued2023
dc.departmentDicle Üniversitesi, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümü Koleksiyonuen_US
dc.description.abstractFiltering, or digital signal processing, is a significant and fundamental requirement in fields such as signal systems and computers. The process of designing optimal digital filters is difficult, which has led researchers to design filters using emerging evolutionary computations. Metaheuristics have emerged as the most promising tool for solving optimization problems, with excellent development and improvement. However, it has not been clear how to select the best performing metaheuristic to design an optimal digital filter. In this paper, a digital infinite impulse response (IIR) filter is constructed using the atom search optimization (ASO) algorithm impressed by the physical motion of atoms in nature based on molecular dynamics. The simulation results obtained are extensively compared with the results of other optimization algorithms such as moth flame optimization, gravitational search algorithm and artificial bee colony optimization. ASO was found to have the highest percentage of improvement. Furthermore, eight cases are analyzed across four numerical filter instances with the same degree and four with reduced degree, and the results are validated by outperforming several different algorithm-based approaches in the literature. The stability analysis on the basis of pole zero diagrams further cements the efficacy of the ASO for IIR system identification problem.en_US
dc.identifier.citationEkinci, S., Budak, C., İzci, D. ve Gider, V. (2023). An atom search optimization approach for IIR system identification. International Journal of Modelling and Simulation, 1-17.
dc.identifier.doi10.1080/02286203.2023.2287968
dc.identifier.issn0228-6203
dc.identifier.issn1925-7082
dc.identifier.scopus2-s2.0-85178180968
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1080/02286203.2023.2287968
dc.identifier.urihttps://hdl.handle.net/11468/16751
dc.identifier.wosWOS:001120281400001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherTaylor & Francis Incen_US
dc.relation.ispartofInternational Journal of Modelling and Simulation
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDigital Iir Filtersen_US
dc.subjectAtom search optimization algorithmen_US
dc.subjectMetaheuristic algorithmen_US
dc.titleAn atom search optimization approach for IIR system identificationen_US
dc.titleAn atom search optimization approach for IIR system identification
dc.typeArticleen_US

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