You are in the accessibility menu

Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/38436
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBordon, M. E.-
dc.contributor.authorda Silva, I. N.-
dc.contributor.authorde Souza, A. N.-
dc.contributor.authorRibeiro, CHC-
dc.contributor.authorFranca, FMG-
dc.date.accessioned2014-05-20T15:28:40Z-
dc.date.accessioned2016-10-25T18:03:47Z-
dc.date.available2014-05-20T15:28:40Z-
dc.date.available2016-10-25T18:03:47Z-
dc.date.issued2000-01-01-
dc.identifierhttp://dx.doi.org/10.1109/SBRN.2000.889716-
dc.identifier.citationSixth Brazilian Symposium on Neural Networks, Vol 1, Proceedings. Los Alamitos: IEEE Computer Soc, p. 72-77, 2000.-
dc.identifier.urihttp://hdl.handle.net/11449/38436-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/38436-
dc.description.abstractThis work presents the design of a fuzzy controller with simplified architecture. This architecture tries to minimize the time processing used in? the several stages of hazy modeling of systems and processes. The basic procedures of fuzzification and defuzzification are simplified to the maximum while the inference procedures are computed in private way. Therefore, the simplified architecture allows a fast and easy configuration of the fuzzy controller.All rules that define the control actions are determined by inference procedures and the defuzzification is made automatically using a simplified algorithm. The fuzzy controller operation is standardized and the control actions are previously calculated For general-purpose application? ann results, the industrial systems of fluid pow cona ol will be considered.en
dc.format.extent72-77-
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE), Computer Soc-
dc.sourceWeb of Science-
dc.titleDesign of a fuzzy controller with simplified architectureen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationUNESP, DEE, FEB, São Paulo, Brazil-
dc.description.affiliationUnespUNESP, DEE, FEB, São Paulo, Brazil-
dc.identifier.doi10.1109/SBRN.2000.889716-
dc.identifier.wosWOS:000165731900012-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofSixth Brazilian Symposium on Neural Networks, Vol 1, Proceedings-
dc.identifier.orcid0000-0001-8510-8245pt
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

There are no files associated with this item.
 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.