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A novel approach to robust parameter estimation using neurofuzzy systems

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dc.contributor.authorda Silva, I. N.
dc.contributor.authorde Arruda, LVR
dc.contributor.authordo Amaral, W. C.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionFed Ctr Educ Technol
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.date.accessioned2014-05-20T13:27:14Z
dc.date.available2014-05-20T13:27:14Z
dc.date.issued1999-02-01
dc.description.abstractA novel approach for solving robust parameter estimation problems is presented for processes with unknown-but-bounded errors and uncertainties. An artificial neural network is developed to calculate a membership set for model parameters. Techniques of fuzzy logic control lead the network to its equilibrium points. Simulated examples are presented as an illustration of the proposed technique. The result represent a significant improvement over previously proposed methods. (C) 1999 IMACS/Elsevier B.V. B.V. All rights reserved.en
dc.description.affiliationUniv São Paulo, Dept Elect Engn, UNESP, FET,DEE, BR-17033360 Bauru, SP, Brazil
dc.description.affiliationFed Ctr Educ Technol, CEFET, PR CPGEI, BR-80230901 Curitiba, Parana, Brazil
dc.description.affiliationUniv Campinas, Dept Comp Engn & Ind Automat, BR-13081970 Campinas, SP, Brazil
dc.description.affiliationUnespUniv São Paulo, Dept Elect Engn, UNESP, FET,DEE, BR-17033360 Bauru, SP, Brazil
dc.format.extent251-268
dc.identifierhttp://dx.doi.org/10.1016/S0378-4754(98)00161-X
dc.identifier.citationMathematics and Computers In Simulation. Amsterdam: Elsevier B.V., v. 48, n. 3, p. 251-268, 1999.
dc.identifier.doi10.1016/S0378-4754(98)00161-X
dc.identifier.issn0378-4754
dc.identifier.urihttp://hdl.handle.net/11449/8911
dc.identifier.wosWOS:000079961200001
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofMathematics and Computers In Simulation
dc.relation.ispartofjcr1.476
dc.relation.ispartofsjr0,613
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectrobust parameter estimationpt
dc.subjectneurofuzzy systempt
dc.subjectartificial intelligencept
dc.subjectneural networkspt
dc.titleA novel approach to robust parameter estimation using neurofuzzy systemsen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
dspace.entity.typePublication
unesp.author.orcid0000-0002-5704-8131[2]
unesp.author.orcid0000-0002-1296-5454[1]
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Engenharia, Baurupt
unesp.departmentEngenharia Elétrica - FEBpt

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Bauru - FEB - Faculdade de Engenharia