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Hibridación de sistemas borrosos para el modelado y control

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dc.contributor.author Andújar, José Manuel es_ES
dc.contributor.author Barragán, Antonio Javier es_ES
dc.date.accessioned 2020-05-22T18:52:56Z
dc.date.available 2020-05-22T18:52:56Z
dc.date.issued 2014-04-13
dc.identifier.issn 1697-7912
dc.identifier.uri http://hdl.handle.net/10251/144187
dc.description.abstract [EN] Fuzzy logic has revolutionized, in a short period of time, the technology through a combination of mathematical fundamentals, logic and reasoning. Its inherent hybridization ability and intrinsic robustness, have allowed to fuzzy logic get numerous successes in the field of modeling and control of systems, impulsing the intelligent control. In this paper, the more usual hybrid fuzzy systems and its importance in the field of modeling and control of dynamic systems are studied. The paper presents several examples that illustrate, for different hybridization techniques, how these enhance the innate qualities of fuzzy logic for modeling and control of dynamic systems. Also, more than a hundred and fifty references are included, which allow the interested reader to delve into the field of fuzzy logic, and more specifically, in its hybridization techniques with application to modeling and fuzzy control. es_ES
dc.description.abstract [ES] La lógica borrosa ha conseguido en un breve periodo de tiempo revolucionar la tecnología mediante la conjunción de los fundamentos matemáticos, la lógica y el razonamiento. Su inherente capacidad de hibridación y su robustez intrínseca han permitido a la lógica borrosa cosechar numerosos éxitos en el campo del modelado y el control de sistemas, impulsando el control inteligente. En este artículo se estudian los sistemas borrosos híbridos más usuales y su importancia en el campo del modelado y control de sistemas dinámicos. El trabajo presenta varios ejemplos que ilustran, para diferentes técnicas de hibridación, cómo éstas potencian las cualidades innatas de la lógica borrosa para el modelado y control de sistemas dinámicos. Así mismo, se incluyen más de ciento cincuenta referencias bibliográficas que permitirán al lector interesado profundizar en el campo de la lógica borrosa, y más concretamente en el de sus técnicas de hibridación con aplicación al modelado y control borroso. es_ES
dc.description.sponsorship Este artículo es una contribución del proyecto DPI2010-17123 financiado por el Ministerio de Economía y Competitividad, y del proyecto TEP-6124 financiado por la Junta de Andalucía. Ambos proyectos están cofinanciados con fondos FEDER. es_ES
dc.language Español es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Revista Iberoamericana de Automática e Informática industrial es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Bioinspired algorithms es_ES
dc.subject Fuzzy control es_ES
dc.subject Fuzzy modeling es_ES
dc.subject Fuzzy systems es_ES
dc.subject Hybrid systems es_ES
dc.subject Intelligent control es_ES
dc.subject Neuronal networks es_ES
dc.subject Algoritmos bioinspirados es_ES
dc.subject Control borroso es_ES
dc.subject Control inteligente es_ES
dc.subject Modelado borroso es_ES
dc.subject Redes neuronales es_ES
dc.subject Sistemas borrosos es_ES
dc.subject Sistemas híbridos es_ES
dc.title Hibridación de sistemas borrosos para el modelado y control es_ES
dc.title.alternative Hybridization of fuzzy systems for modeling and control es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.riai.2014.03.004
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//DPI2010-17123/ES/UNIDAD ECOLOGICA DE ENERGIA AUXILIAR. APLICACION A LOS GRANDES CAMIONES DE TRANSPORTE FRIGORIFICO/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Junta de Andalucía//P10-TEP-6124/ES/Sistema Integral para la optimizacion, monitorización y análisis de fallos en paneles, arrays e instalaciones fotovoltáicas/ es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Andújar, JM.; Barragán, AJ. (2014). Hibridación de sistemas borrosos para el modelado y control. Revista Iberoamericana de Automática e Informática industrial. 11(2):127-141. https://doi.org/10.1016/j.riai.2014.03.004 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.riai.2014.03.004 es_ES
dc.description.upvformatpinicio 127 es_ES
dc.description.upvformatpfin 141 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 11 es_ES
dc.description.issue 2 es_ES
dc.identifier.eissn 1697-7920
dc.relation.pasarela OJS\9454 es_ES
dc.contributor.funder Junta de Andalucía es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
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