Parameter estimation in nonlinear time-varying systems through Takagi-Sugeno fuzzy models and wavelets

Autores
Araya, Juan Francisco; Cipriano, Aldo
Año de publicación
2004
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this paper, a parameter estimation problem for a Takagi-Sugeno fuzzy dynamic system is formulated under the assumption that the premises in the membership functions are known. A linear expression in consequent parameters is obtained under this assumption. If the system is time-varying, the parameters can be determined by recursive estimation techniques. As an alternate approach, the use of multi-resolution wavelets is proposed. Furthermore, a parameter estimation toolbox for fuzzy dynamic models is developed which is then applied to a simple example and to the Mackey-Glass chaotic time series.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Wavelets y fractales
Takagi-Sugeno Models
Fuzzy Models
Time-Varying Systems
Parameter Estimation
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/135310
Acceder
id SEDICI_b2a4c743de4a64387bd9a40657ec091d
oai_identifier_str oai:sedici.unlp.edu.ar:10915/135310
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Parameter estimation in nonlinear time-varying systems through Takagi-Sugeno fuzzy models and waveletsAraya, Juan FranciscoCipriano, AldoCiencias InformáticasWavelets y fractalesTakagi-Sugeno ModelsFuzzy ModelsTime-Varying SystemsParameter EstimationIn this paper, a parameter estimation problem for a Takagi-Sugeno fuzzy dynamic system is formulated under the assumption that the premises in the membership functions are known. A linear expression in consequent parameters is obtained under this assumption. If the system is time-varying, the parameters can be determined by recursive estimation techniques. As an alternate approach, the use of multi-resolution wavelets is proposed. Furthermore, a parameter estimation toolbox for fuzzy dynamic models is developed which is then applied to a simple example and to the Mackey-Glass chaotic time series.Sociedad Argentina de Informática e Investigación Operativa2004-06-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf21-33http://sedici.unlp.edu.ar/handle/10915/135310enginfo:eu-repo/semantics/altIdentifier/url/https://publicaciones.sadio.org.ar/index.php/EJS/article/view/102info:eu-repo/semantics/altIdentifier/issn/1514-6774info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-29T15:39:07Zoai:sedici.unlp.edu.ar:10915/135310Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-29 15:39:07.539SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Parameter estimation in nonlinear time-varying systems through Takagi-Sugeno fuzzy models and wavelets
title Parameter estimation in nonlinear time-varying systems through Takagi-Sugeno fuzzy models and wavelets
spellingShingle Parameter estimation in nonlinear time-varying systems through Takagi-Sugeno fuzzy models and wavelets
Araya, Juan Francisco
Ciencias Informáticas
Wavelets y fractales
Takagi-Sugeno Models
Fuzzy Models
Time-Varying Systems
Parameter Estimation
title_short Parameter estimation in nonlinear time-varying systems through Takagi-Sugeno fuzzy models and wavelets
title_full Parameter estimation in nonlinear time-varying systems through Takagi-Sugeno fuzzy models and wavelets
title_fullStr Parameter estimation in nonlinear time-varying systems through Takagi-Sugeno fuzzy models and wavelets
title_full_unstemmed Parameter estimation in nonlinear time-varying systems through Takagi-Sugeno fuzzy models and wavelets
title_sort Parameter estimation in nonlinear time-varying systems through Takagi-Sugeno fuzzy models and wavelets
dc.creator.none.fl_str_mv Araya, Juan Francisco
Cipriano, Aldo
author Araya, Juan Francisco
author_facet Araya, Juan Francisco
Cipriano, Aldo
author_role author
author2 Cipriano, Aldo
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Wavelets y fractales
Takagi-Sugeno Models
Fuzzy Models
Time-Varying Systems
Parameter Estimation
topic Ciencias Informáticas
Wavelets y fractales
Takagi-Sugeno Models
Fuzzy Models
Time-Varying Systems
Parameter Estimation
dc.description.none.fl_txt_mv In this paper, a parameter estimation problem for a Takagi-Sugeno fuzzy dynamic system is formulated under the assumption that the premises in the membership functions are known. A linear expression in consequent parameters is obtained under this assumption. If the system is time-varying, the parameters can be determined by recursive estimation techniques. As an alternate approach, the use of multi-resolution wavelets is proposed. Furthermore, a parameter estimation toolbox for fuzzy dynamic models is developed which is then applied to a simple example and to the Mackey-Glass chaotic time series.
Sociedad Argentina de Informática e Investigación Operativa
description In this paper, a parameter estimation problem for a Takagi-Sugeno fuzzy dynamic system is formulated under the assumption that the premises in the membership functions are known. A linear expression in consequent parameters is obtained under this assumption. If the system is time-varying, the parameters can be determined by recursive estimation techniques. As an alternate approach, the use of multi-resolution wavelets is proposed. Furthermore, a parameter estimation toolbox for fuzzy dynamic models is developed which is then applied to a simple example and to the Mackey-Glass chaotic time series.
publishDate 2004
dc.date.none.fl_str_mv 2004-06-26
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/135310
url http://sedici.unlp.edu.ar/handle/10915/135310
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://publicaciones.sadio.org.ar/index.php/EJS/article/view/102
info:eu-repo/semantics/altIdentifier/issn/1514-6774
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.format.none.fl_str_mv application/pdf
21-33
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.10058

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