dc.creatorAraya, Juan Francisco
dc.creatorCipriano, Aldo
dc.date2004-06-26
dc.date2022-04-29T13:55:50Z
dc.date.accessioned2023-07-15T06:25:30Z
dc.date.available2023-07-15T06:25:30Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/135310
dc.identifierhttps://publicaciones.sadio.org.ar/index.php/EJS/article/view/102
dc.identifierissn:1514-6774
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7476613
dc.descriptionIn 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.
dc.descriptionSociedad Argentina de Informática e Investigación Operativa
dc.formatapplication/pdf
dc.format21-33
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by/4.0/
dc.rightsCreative Commons Attribution 4.0 International (CC BY 4.0)
dc.subjectCiencias Informáticas
dc.subjectWavelets y fractales
dc.subjectTakagi-Sugeno Models
dc.subjectFuzzy Models
dc.subjectTime-Varying Systems
dc.subjectParameter Estimation
dc.titleParameter estimation in nonlinear time-varying systems through Takagi-Sugeno fuzzy models and wavelets
dc.typeArticulo
dc.typeArticulo


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