Design of a neurofuzzy controller with simplified architecture.
Autor(a) principal: | |
---|---|
Data de Publicação: | 2001 |
Outros Autores: | , |
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. |
id |
UNSP_b0874b0c76c6aba8887c39eb86398255 |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/219358 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
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:29462024-08-05T20:01:09.265760Repositório 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_ |
1808129149789798400 |