Modeling of first order plus time delay system dynamics with adaptive IIR filters based on gradient descent methods and performance analyses for different time delay cases

Basit Öğe Kaydı
dc.authoridYagmur, Nagihan/0000-0002-6407-4338
dc.authorwosidYagmur, Nagihan/JQI-3349-2023
dc.contributor.authorYagmur, Nagihan
dc.contributor.authorAlagoz, Baris Baykant
dc.date.accessioned2024-08-04T21:00:01Z
dc.date.available2024-08-04T21:00:01Z
dc.date.issued2024
dc.departmentİnönü Üniversitesien_US
dc.description.abstractIn this study, the modeling of First Order Plus Time Delay (FOPTD) dynamics by using adaptive infinite impulse response (IIR) filter based on Gradient Descent (GD) method, which is frequently used in machine learning applications, has been investigated by the help of the inputoutput data in the time domain. The First Order Time Delay (FOPTD) dynamic system models are the most basic system model that is used in the modeling of control systems. In the study, the IIR filter coefficients are optimized online by using the GD method for convergence of the IIR filter response to the FOPTD dynamic system model response for the same input signal. The distance of the IIR filter output to the output of the FOPTD dynamic system for the same input is expressed by the instant square error function and, recursive GD solutions of this function are used to minimize output mismatches between FOPTD system model and the proposed adaptive IIR filter. Thus, the convergence of the IIR filter to the input-output dynamics of a FOPTD dynamic system is provided in the time domain by performing recursive filter coefficient solutions that are obtained by the GD method. An application of the adaptive IIR filter solutions in the online modeling of FOPTD systems was carried out in MATLAB-Simulink environment. In the developed simulation environment, the collected signals from the inputs and outputs of the FOPTD dynamic system were used to online optimize the IIR filter coefficients in the GD optimization block. In this simulation environment, the convergence performance of the IIR filter response for the time delay system dynamics of the FOPTD plant model is investigated for different time delay values.en_US
dc.identifier.doi10.5505/pajes.2023.65748
dc.identifier.endpage211en_US
dc.identifier.issn1300-7009
dc.identifier.issn2147-5881
dc.identifier.issue2en_US
dc.identifier.startpage202en_US
dc.identifier.urihttps://doi.org/10.5505/pajes.2023.65748
dc.identifier.urihttps://hdl.handle.net/11616/103703
dc.identifier.volume30en_US
dc.identifier.wosWOS:001207221100002en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoesen_US
dc.publisherPamukkale Univen_US
dc.relation.ispartofPamukkale University Journal of Engineering Sciences-Pamukkale Universitesi Muhendislik Bilimleri Dergisien_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSystem modelingen_US
dc.subjectNonlinear optimizationen_US
dc.subjectGradient descent methoden_US
dc.subjectAdaptive IIR Filteren_US
dc.subjectDynamic systemen_US
dc.titleModeling of first order plus time delay system dynamics with adaptive IIR filters based on gradient descent methods and performance analyses for different time delay casesen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu