Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter

dc.contributor.authorBarragán Piña, Antonio Javier
dc.contributor.authorAndújar Márquez, José Manuel
dc.contributor.authorAznar Torres, Mariano J.
dc.contributor.authorJiménez Avello, Agustín
dc.contributor.authorAl-Hadithi, Basil Mohammed
dc.date.accessioned2015-12-02T10:52:32Z
dc.date.available2015-12-02T10:52:32Z
dc.date.issued2011
dc.description.abstractWhen we try to analyze and to control a system whose model was obtained only based on input/output data, accuracy is essential in the model. On the other hand, to make the procedure practical, the modeling stage must be computationally efficient. In this regard, this paper presents the application of extended Kalman filter for the parametric adaptation of a fuzzy model.en_US
dc.description.departmentIngeniería Electrónica, de Sistemas Informáticos y Automática
dc.identifier.citationBarragán Piña, A.J., Andujar Marquez, J.M., Aznar Torres, M.J., Jiménez Avello, A., Al-Hadithi, B.M.: "Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter". En: "EUSFLAT-2011 and LFA-2011", 18/07/2011 - 18/07/2011, Aix-lesBains. France. ISBN 978-90-78677-00-0. págs. 686-690, (2011)en_US
dc.identifier.urihttp://hdl.handle.net/10272/11462
dc.language.isoengen_US
dc.publisherAtlantis Pressen_US
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accessen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.otherKalman filteren_US
dc.subject.otherEstimationen_US
dc.subject.otherFuzzy systemen_US
dc.subject.otherModelingen_US
dc.titleMethodology for adapting the parameters of a fuzzy system using the extended Kalman filteren_US
dc.typeconference outputen_US
dspace.entity.typePublication
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relation.isAuthorOfPublicationae5faff8-3c02-43cd-a650-2e754e1995fa
relation.isAuthorOfPublication.latestForDiscoveryf6fe3449-07ad-4362-b4b0-9e86da698bfb

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