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Fuzzy model identification and self learning with smooth compositions

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Inteligencia Artificial Aplicada (GIAA)es
dc.contributor.authorSadjadi, Ebrahim
dc.contributor.authorGarcía Herrero, Jesús
dc.contributor.authorMolina López, José Manuel
dc.contributor.authorBorzabadi, Akbar Hashemi
dc.contributor.authorAbchouyeh, Monireh Asadi
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2021-11-04T12:50:48Z
dc.date.available2021-11-04T12:50:48Z
dc.date.issued2019-10-03
dc.description.abstractThis Paper Develops A Smooth Model Identification And Self-Learning Strategy For Dynamic Systems Taking Into Account Possible Parameter Variations And Uncertainties. We Have Tried To Solve The Problem Such That The Model Follows The Changes And Variations In The System On A Continuous And Smooth Surface. Running The Model To Adaptively Gain The Optimum Values Of The Parameters On A Smooth Surface Would Facilitate Further Improvements In The Application Of Other Derivative Based Optimization Control Algorithms Such As Mpc Or Robust Control Algorithms To Achieve A Combined Modeling-Control Scheme. Compared To The Earlier Works On The Smooth Fuzzy Modeling Structures, We Could Reach A Desired Trade-Off Between The Model Optimality And The Computational Load. The Proposed Method Has Been Evaluated On A Test Problem As Well As The Non-Linear Dynamic Of A Chemical Process.en
dc.description.sponsorshipThis publication was supported in part by project MINECO, TEC2017-88048-C2-2-Ren
dc.identifier.bibliographicCitationSadjadi, E.N., García, J., Molina López, J.M. et al. Fuzzy Model Identification and Self Learning with Smooth Compositions. Int. J. Fuzzy Syst. 21, 2679– 2693 (2019). https://doi.org/10.1007/s40815-019-00725-8en
dc.identifier.doihttps://doi.org/10.1007/s40815-019-00725-8
dc.identifier.issn1562-2479
dc.identifier.publicationfirstpage2679
dc.identifier.publicationissue8
dc.identifier.publicationlastpage2683
dc.identifier.publicationtitleInternational Journal of Fuzzy Systemsen
dc.identifier.publicationvolume21
dc.identifier.urihttps://hdl.handle.net/10016/33539
dc.identifier.uxxiAR/0000024470
dc.language.isoengen
dc.publisherSpringeren
dc.relation.projectIDGobierno de España. TEC2017-88048-C2-2-Res
dc.rights© 2019, Taiwan Fuzzy Systems Associationen
dc.rights.accessRightsopen accessen
dc.subject.ecienciaInformáticaes
dc.subject.otherfuzzy controlen
dc.subject.otherfuzzy if-then systems (tsk)en
dc.subject.othersmooth compositionsen
dc.titleFuzzy model identification and self learning with smooth compositionsen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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