Adaptive Control of Nonlinear TRMS Model by Using Gradient Descent Optimizers

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dc.authoridKavuran, Gurkan/0000-0003-2651-5005
dc.authoridAlagoz, Baris Baykant/0000-0001-5238-6433
dc.authoridHafiz, Alisoy/0000-0003-4374-9559
dc.authoridTepljakov, Aleksei/0000-0002-7158-8484
dc.authorwosidKavuran, Gurkan/S-6935-2016
dc.authorwosidAlagoz, Baris Baykant/ABG-8526-2020
dc.authorwosidHafiz, Alisoy/ABA-7256-2020
dc.authorwosidTepljakov, Aleksei/F-1632-2017
dc.contributor.authorAlagoz, Baris Baykant
dc.contributor.authorTepljakov, Aleksei
dc.contributor.authorKavuran, Gurkan
dc.contributor.authorAlisoy, Hafiz
dc.date.accessioned2024-08-04T20:45:45Z
dc.date.available2024-08-04T20:45:45Z
dc.date.issued2018
dc.departmentİnönü Üniversitesien_US
dc.descriptionInternational Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 28-30, 2018 -- Inonu Univ, Malatya, TURKEYen_US
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.en_US
dc.description.sponsorshipInonu Univ, Comp Sci Dept,IEEE Turkey Sect,Anatolian Scien_US
dc.identifier.isbn978-1-5386-6878-8
dc.identifier.scopus2-s2.0-85062496936en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/11616/98679
dc.identifier.wosWOS:000458717400085en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2018 International Conference on Artificial Intelligence and Data Processing (Idap)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGradient descent methoden_US
dc.subjectcontrolen_US
dc.subjectnonlinear systemsen_US
dc.subjectTRMSen_US
dc.titleAdaptive Control of Nonlinear TRMS Model by Using Gradient Descent Optimizersen_US
dc.typeConference Objecten_US

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