Design of a neurofuzzy controller with simplified architecture.

Detalhes bibliográficos
Autor(a) principal: Bordon, M. E.
Data de Publicação: 2001
Outros Autores: da Silva, I. N., Avolio, E.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1142/S0129065701000667
http://hdl.handle.net/11449/219358
Resumo: This 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.
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spelling Design of a neurofuzzy controller with simplified architecture.This 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.Department of Electrical Engineering State University of São PauloUniversidade de São Paulo (USP)Bordon, M. E.da Silva, I. N.Avolio, E.2022-04-28T18:55:08Z2022-04-28T18:55:08Z2001-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article229-235http://dx.doi.org/10.1142/S0129065701000667International journal of neural systems, v. 11, n. 3, p. 229-235, 2001.0129-0657http://hdl.handle.net/11449/21935810.1142/S01290657010006672-s2.0-2342625512Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational journal of neural systemsinfo:eu-repo/semantics/openAccess2022-04-28T18:55:08Zoai:repositorio.unesp.br:11449/219358Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-28T18:55:08Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Design of a neurofuzzy controller with simplified architecture.
title Design of a neurofuzzy controller with simplified architecture.
spellingShingle Design of a neurofuzzy controller with simplified architecture.
Bordon, M. E.
title_short Design of a neurofuzzy controller with simplified architecture.
title_full Design of a neurofuzzy controller with simplified architecture.
title_fullStr Design of a neurofuzzy controller with simplified architecture.
title_full_unstemmed Design of a neurofuzzy controller with simplified architecture.
title_sort Design of a neurofuzzy controller with simplified architecture.
author Bordon, M. E.
author_facet Bordon, M. E.
da Silva, I. N.
Avolio, E.
author_role author
author2 da Silva, I. N.
Avolio, E.
author2_role author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
dc.contributor.author.fl_str_mv Bordon, M. E.
da Silva, I. N.
Avolio, E.
description This 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.
publishDate 2001
dc.date.none.fl_str_mv 2001-01-01
2022-04-28T18:55:08Z
2022-04-28T18:55:08Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1142/S0129065701000667
International journal of neural systems, v. 11, n. 3, p. 229-235, 2001.
0129-0657
http://hdl.handle.net/11449/219358
10.1142/S0129065701000667
2-s2.0-2342625512
url http://dx.doi.org/10.1142/S0129065701000667
http://hdl.handle.net/11449/219358
identifier_str_mv International journal of neural systems, v. 11, n. 3, p. 229-235, 2001.
0129-0657
10.1142/S0129065701000667
2-s2.0-2342625512
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International journal of neural systems
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 229-235
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1799965245356113920

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