Publicación:
Fuzzy logic vs analytic controllers on a non-linear system

Vista sencilla de ítem
dc.contributor.authorAranda Escolástico, Ernesto
dc.contributor.authorGuinaldo Losada, María
dc.contributor.authorDormido Canto, Sebastián
dc.contributor.authorSantos, M.
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.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.centerFacultades y escuelas
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.typeactas de congresoes
dc.typeconference proceedingsen
dspace.entity.typePublication
relation.isAuthorOfPublication19c0c538-4e7e-4de5-afd9-6ff1a8bbf88e
relation.isAuthorOfPublication4e090c62-3525-41d6-a8ff-0d3f4642e5c3
relation.isAuthorOfPublicationf5f57d8a-f3c0-40a1-a93c-80d6237a2bcb
relation.isAuthorOfPublication.latestForDiscovery19c0c538-4e7e-4de5-afd9-6ff1a8bbf88e
Archivos
Bloque original
Mostrando 1 - 1 de 1
Miniatura
Nombre:
ArandaEscolastico_Ernesto_FuzzyLogicSystem_ERNESTO ARANDA ESCOL.pdf
Tamaño:
398 KB
Formato:
Adobe Portable Document Format
Descargar
Bloque de licencias
Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
license.txt
Tamaño:
3.62 KB
Formato:
Item-specific license agreed to upon submission
Descripción:
Descargar
Colecciones
Actas y comunicaciones de congresos