Adaptive Control of Nonlinear TRMS Model by Using Gradient Descent Optimizers

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dc.authorid0000-0002-7158-8484
dc.authorid0000-0003-2651-5005
dc.authorscopusid57221078940
dc.authorscopusid51865030800
dc.authorscopusid36975622800
dc.authorscopusid6506438268
dc.authorwosidAlagoz, Baris Baykant/ABG-8526-2020
dc.authorwosidTepljakov, Aleksei/F-1632-2017
dc.authorwosidKAVURAN, Gürkan/S-6935-2016
dc.contributor.authorAlagöz, Barış Baykant
dc.contributor.authorTepljakov, Aleksei
dc.contributor.authorKavuran, Gurkan
dc.contributor.authorAlisoy, Hafız
dc.date.accessioned2022-05-11T14:17:40Z
dc.date.available2022-05-11T14:17:40Z
dc.date.issued2018
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Elektronik ve Haberleşme Mühendisliği Bölümü
dc.descriptionInternational Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 28-30, 2018 -- Inonu Univ, Malatya, TURKEY
dc.description.abstractThis study demonstrates an application of direct gradient descent control for adaptively control of a nonlinear stable system models. The approach is based on utilization of gradient descent optimization techniques for the synthesis of control signals to control a specific plant model. In a former work, gradient descent optimizers were designed by considering a first degree instant input-output relation model assumption of the controlled system and this can allow model independent adaptive control of a class of plant models that can approximate to first order stable plant dynamics. The current study is an extension of this scheme for the purpose of nonlinear adaptive control. Here, we consider a higher degree polynomial assumption of instant input-output relations of the controlled system to obtain gradient descent optimizers that can be applied for adaptive control of a class of nonlinear systems. For evaluation of control performance of gradient descent optimizers, it is applied for the control of nonlinear TRMS model and the results are compared with performance of conventional PID control.
dc.description.sponsorshipInonu Univ, Comp Sci Dept, IEEE Turkey Sect, Anatolian Sci
dc.identifier.isbn978-1-5386-6878-8
dc.identifier.scopus2-s2.0-85062496936
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6434
dc.identifier.wosWOS:000458717400085
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorAlisoy, Hafız
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartof2018 International Conference on Artificial Intelligence and Data Processing (Idap)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectGradient descent method
dc.subjectcontrol
dc.subjectnonlinear systems
dc.subjectTRMS
dc.subjectSystems
dc.titleAdaptive Control of Nonlinear TRMS Model by Using Gradient Descent Optimizers
dc.typeConference Object

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