Sand cat swarm optimization-based feedback controller design for nonlinear systems

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dc.authoridRasheed, Jawad/0000-0003-3761-1641
dc.authoridAbu-Mahfouz, Adnan M./0000-0002-6413-3924
dc.authoridTavakol Aghaei, Vahid/0000-0002-4876-1015
dc.authoridSeyyedabbasi, Amir/0000-0001-5186-4499
dc.authorwosidRasheed, Jawad/AAY-5207-2020
dc.authorwosidAbu-Mahfouz, Adnan M./S-2253-2017
dc.authorwosidTavakol Aghaei, Vahid/AES-9479-2022
dc.authorwosidSeyyedabbasi, Amir/HJH-7387-2023
dc.contributor.authorAghaei, Vahid Tavakol
dc.contributor.authorSeyyedAbbasi, Amir
dc.contributor.authorRasheed, Jawad
dc.contributor.authorAbu-Mahfouz, Adnan M.
dc.date.accessioned2024-05-19T14:46:46Z
dc.date.available2024-05-19T14:46:46Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractThe control of the open loop unstable systems with nonlinear structure is challenging work. In this paper, for the first time, we present a sand cat swarm optimization (SCSO) algorithm-based state feedback controller design for open-loop unstable systems. The SCSO algorithm is a newly proposed metaheuristic algorithm with an easy-to-implement structure that can efficiently find the optimal solution for optimization problems. The proposed SCSO-based state feedback controller can successfully optimize the control parameters with efficient convergence curve speed. In order to show the performance of the proposed method, three different nonlinear control systems such as an Inverted pendulum, a Furuta pendulum, and an Acrobat robot arm are considered. The control and optimization performances of the proposed SCSO algorithm are compared with well-known metaheuristic algorithms. The simulation results show that the proposed control method can either outperform the compared metaheuristic-based algorithms or have competitive results.en_US
dc.identifier.doi10.1016/j.heliyon.2023.e13885
dc.identifier.issn2405-8440
dc.identifier.issue3en_US
dc.identifier.pmid36895404en_US
dc.identifier.scopus2-s2.0-85149044909en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org10.1016/j.heliyon.2023.e13885
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5591
dc.identifier.volume9en_US
dc.identifier.wosWOS:000969125700001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherCell Pressen_US
dc.relation.ispartofHeliyonen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240519_kaen_US
dc.subjectState Feedback Controlen_US
dc.subjectNonlinear Systemsen_US
dc.subjectTrajectory Controlen_US
dc.subjectMetaheuristic Algorithmsen_US
dc.subjectSand Cat Swarm Optimization (Scso)en_US
dc.titleSand cat swarm optimization-based feedback controller design for nonlinear systemsen_US
dc.typeArticleen_US

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