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Fuzzy logic vs analytic controllers on a non-linear system

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dc.contributor.authorAranda Escolástico, Ernesto
dc.contributor.authorGuinaldo Losada, María
dc.contributor.authorDormido Canto, Sebastián
dc.contributor.authorSantos, Matilde
dc.coverage.spatialJoão Pessoa (Brazil)
dc.coverage.temporal2014
dc.date.accessioned2024-10-07T09:31:16Z
dc.date.available2024-10-07T09:31:16Z
dc.date.issued2014
dc.descriptionThe registered version of this article, first published in “Decision Making and Soft Computing, pp. 448-453 (2014)", is available online at the publisher's website: World Scientific, https://doi.org/10.1142/9789814619998_0075 La versión registrada de este artículo, publicado por primera vez en “Decision Making and Soft Computing, pp. 448-453 (2014)", está disponible en línea en el sitio web del editor: World Scientific, https://doi.org/10.1142/9789814619998_0075
dc.description.abstractIn this paper, an intelligent control of the rotary inverted pendulum by fuzzy logic is presented. Specifically, the design consists of a Takagi-Sugeno fuzzy model to approximate the non-linear system to a succession of points where a linear system is described. A feedback gain is obtained that allows the stabilization of the inverted pendulum in a higher attractor than in the case of analytic Full State Feedback controller or Linear Quadratic Regulator.en
dc.description.provenanceMade available in DSpace on 2024-10-07T09:31:16Z (GMT). No. of bitstreams: 1 ArandaEscolastico_Ernesto_FuzzyLogicSystem_ERNESTO ARANDA ESCOL.pdf: 407549 bytes, checksum: 2fce7f87b60c000704645e8523307718 (MD5) Previous issue date: 2014en
dc.description.versionversión final
dc.identifier.citationE. Aranda, M. Guinaldo, M. Santos, S. Dormido. “Fuzzy logic VS analytic controllers on a non-linear system”, The 11th International FLINS Conference on Decision Making and Soft Computing, João Pessoa (Brazil), Proceedings series on computer engineering and information science: Decision making and soft computing, 9, 448-453, August, 2014. DOI: 10.1142/9789814619998_0075
dc.identifier.doihttps://doi.org/10.1142/9789814619998_0075
dc.identifier.issn9789814623001
dc.identifier.urihttps://hdl.handle.net/20.500.14468/23932
dc.language.isoen
dc.publisherWorld Scientific
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.congressThe 11th International FLINS Conference (FLINS 2014)
dc.relation.departmentIngeniería de Software y Sistemas Informáticos
dc.relation.isreferencedbyThis work was supported in part by the Spanish Ministry of Economy and Competi- tiveness under the project DPI2012-31303
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject33 Ciencias Tecnológicas
dc.titleFuzzy logic vs analytic controllers on a non-linear systemen
dc.typeconference proceedingsen
dspace.entity.typePublication
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relation.isAuthorOfPublicationf5f57d8a-f3c0-40a1-a93c-80d6237a2bcb
relation.isAuthorOfPublication.latestForDiscovery19c0c538-4e7e-4de5-afd9-6ff1a8bbf88e
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