Fractional order filter discretization with marine predators algorithm

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dc.authorscopusid57196895937
dc.authorscopusid7601439185
dc.contributor.authorAtes A.
dc.contributor.authorChen Y.
dc.date.accessioned2024-08-04T20:04:01Z
dc.date.available2024-08-04T20:04:01Z
dc.date.issued2021
dc.departmentİnönü Üniversitesien_US
dc.descriptionComputers and Information in Engineering Division;Design Engineering Divisionen_US
dc.description17th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2021, Held as Part of the ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2021 -- 17 August 2021 through 19 August 2021 -- 174204en_US
dc.description.abstractIn this study, discrete time models of continuous time fractional order filters are obtained by using the Marine Predators Algorithm (MPA). Marine Predators optimization algorithm is a population-based heuristic method. This method is inspired by the hunting behavior of marine predators. The algorithm works on three basic phases. These phases occur according to the difference or equality of the velocity of the prey and the predator. As it is known, uniform distribution is generally used in stochastic based optimization algorithms. However, in the MPA method, Brownian and Levy distributions are also used as well as uniform distribution. First, continuous time frequency responses of fractional order filters are generated. Then, fourth order discrete time filters are designed that can give similar responses with generated continues time filter frequency responses. Ten parameters were optimized for the design of fourth order discrete time filters numerator and denominator. The Marine Predators method's results are compared with the results of the Fractional order Darwinian Particle Swarm Optimization (FODPSO) algorithm, from which discrete time filters are obtained for two fractional order continuous time filter models. In this way, it has been shown comparatively that the Marine Predators Algorithm can be used in real engineering problems and can do filter discretization better. Copyright © 2021 by ASMEen_US
dc.identifier.doi10.1115/DETC2021-67611
dc.identifier.isbn9780791885437
dc.identifier.scopus2-s2.0-85119975058en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1115/DETC2021-67611
dc.identifier.urihttps://hdl.handle.net/11616/92304
dc.identifier.volume7en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherAmerican Society of Mechanical Engineers (ASME)en_US
dc.relation.ispartofProceedings of the ASME Design Engineering Technical Conferenceen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDiscretizationen_US
dc.subjectFractional order filteren_US
dc.subjectMarine predators optimizationen_US
dc.titleFractional order filter discretization with marine predators algorithmen_US
dc.typeConference Objecten_US

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