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Design of a neurofuzzy controller with simplified architecture.

dc.contributor.authorBordon, M. E.
dc.contributor.authorda Silva, I. N.
dc.contributor.authorAvolio, E.
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.date.accessioned2022-04-28T18:55:08Z
dc.date.available2022-04-28T18:55:08Z
dc.date.issued2001-01-01
dc.description.abstractThis work presents the design of a neurofuzzy controller with simplified architecture that minimizes the processing time used in several stages associated with systems and processes modelling. The basic procedures of fuzzification and defuzzification are very simplified, whereas the inference procedures are computed in a direct way. The simplified architecture has allowed a fast and easy configuration of the neurofuzzy controller, as consequence, the control rules that define the control actions are obtained automatically. To validate the proposed approach, this neurofuzzy system is used in an industrial application for fluid flow control.en
dc.description.affiliationDepartment of Electrical Engineering State University of São Paulo
dc.format.extent229-235
dc.identifierhttp://dx.doi.org/10.1142/S0129065701000667
dc.identifier.citationInternational journal of neural systems, v. 11, n. 3, p. 229-235, 2001.
dc.identifier.doi10.1142/S0129065701000667
dc.identifier.issn0129-0657
dc.identifier.scopus2-s2.0-2342625512
dc.identifier.urihttp://hdl.handle.net/11449/219358
dc.language.isoeng
dc.relation.ispartofInternational journal of neural systems
dc.sourceScopus
dc.titleDesign of a neurofuzzy controller with simplified architecture.en
dc.typeArtigo
dspace.entity.typePublication

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