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

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 parame...

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Autores principales: Araya, Juan Francisco, Cipriano, Aldo
Formato: Articulo
Lenguaje:Inglés
Publicado: 2004
Materias:
Ciencias Informáticas
Wavelets y fractales
Takagi-Sugeno Models
Fuzzy Models
Time-Varying Systems
Parameter Estimation
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/135310
https://publicaciones.sadio.org.ar/index.php/EJS/article/view/102
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-135310
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Wavelets y fractales
Takagi-Sugeno Models
Fuzzy Models
Time-Varying Systems
Parameter Estimation
spellingShingle Ciencias Informáticas
Wavelets y fractales
Takagi-Sugeno Models
Fuzzy Models
Time-Varying Systems
Parameter Estimation
Araya, Juan Francisco
Cipriano, Aldo
Parameter estimation in nonlinear time-varying systems through Takagi-Sugeno fuzzy models and wavelets
topic_facet Ciencias Informáticas
Wavelets y fractales
Takagi-Sugeno Models
Fuzzy Models
Time-Varying Systems
Parameter Estimation
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.
format Articulo
Articulo
author Araya, Juan Francisco
Cipriano, Aldo
author_facet Araya, Juan Francisco
Cipriano, Aldo
author_sort Araya, Juan Francisco
title Parameter estimation in nonlinear time-varying systems through Takagi-Sugeno fuzzy models and wavelets
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
publishDate 2004
url http://sedici.unlp.edu.ar/handle/10915/135310
https://publicaciones.sadio.org.ar/index.php/EJS/article/view/102
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AT ciprianoaldo parameterestimationinnonlineartimevaryingsystemsthroughtakagisugenofuzzymodelsandwavelets
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