New Optimal Approach for the Identification of Takagi-Sugeno Fuzzy Model

Jiménez Avello, Agustín; Al-Hadithi, Basil M. y Matía Espada, Fernando (2008). New Optimal Approach for the Identification of Takagi-Sugeno Fuzzy Model. En: "The 4th WSEAS/IASME International Conference on Dynamical Systems and Control (CONTROL'08)", 26/09/2008-28/10/2008, Corfu, Grecia. ISBN 978-960-474-014-7. pp. 201-208.

Descripción

Título: New Optimal Approach for the Identification of Takagi-Sugeno Fuzzy Model
Autor/es:
  • Jiménez Avello, Agustín
  • Al-Hadithi, Basil M.
  • Matía Espada, Fernando
Director/es:
  • Al-Hadithi, Basil
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: The 4th WSEAS/IASME International Conference on Dynamical Systems and Control (CONTROL'08)
Fechas del Evento: 26/09/2008-28/10/2008
Lugar del Evento: Corfu, Grecia
Título del Libro: Proceedings of the 4th WSEAS/IASME International Conference on Dynamical Systems and Control
Fecha: 2008
ISBN: 978-960-474-014-7
Materias:
Palabras Clave Informales: Nonlinear systems, fuzzy systems, takagi-Sugeno fuzzy model, universal approximators, optimization
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Automática, Ingeniería Electrónica e Informática Industrial [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

A novel optimal method is developed to improve the identification and estimation of Takagi-Sugeno (TS) fuzzy model. The idea comes from the fact that the main drawback of T-S model is that it can not be applied when the membership functions are overlapped by pairs. This limits the application of the T-S model because this type of membership function has been widely used in the stability and controller design of fuzzy systems. It is also very popular in industrial control applications. The method presented here can be considered as a generalized version of T-S fuzzy model with optimized performance in approximating nonlinear functions. Various examples are chosen to show the high function approximation accuracy and fast convergence obtained by applying the proposed method in approximating nonlinear systems locally and globally in comparison with the original T-S model.

Más información

ID de Registro: 3693
Identificador DC: http://oa.upm.es/3693/
Identificador OAI: oai:oa.upm.es:3693
URL Oficial: http://www.wseas.org/conferences/2008/corfu/control
Depositado por: Memoria Investigacion
Depositado el: 13 Jul 2010 08:59
Ultima Modificación: 20 Abr 2016 13:11
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