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

Jiménez Avello, Agustín and Al-Hadithi, Basil M. and Matía Espada, Fernando (2008). New Optimal Approach for the Identification of Takagi-Sugeno Fuzzy Model. In: "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.

Description

Title: New Optimal Approach for the Identification of Takagi-Sugeno Fuzzy Model
Author/s:
  • Jiménez Avello, Agustín
  • Al-Hadithi, Basil M.
  • Matía Espada, Fernando
Contributor/s:
  • Al-Hadithi, Basil
Item Type: Presentation at Congress or Conference (Article)
Event Title: The 4th WSEAS/IASME International Conference on Dynamical Systems and Control (CONTROL'08)
Event Dates: 26/09/2008-28/10/2008
Event Location: Corfu, Grecia
Title of Book: Proceedings of the 4th WSEAS/IASME International Conference on Dynamical Systems and Control
Date: 2008
ISBN: 978-960-474-014-7
Subjects:
Freetext Keywords: Nonlinear systems, fuzzy systems, takagi-Sugeno fuzzy model, universal approximators, optimization
Faculty: E.T.S.I. Industriales (UPM)
Department: Automática, Ingeniería Electrónica e Informática Industrial [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 3693
DC Identifier: http://oa.upm.es/3693/
OAI Identifier: oai:oa.upm.es:3693
Official URL: http://www.wseas.org/conferences/2008/corfu/control
Deposited by: Memoria Investigacion
Deposited on: 13 Jul 2010 08:59
Last Modified: 20 Apr 2016 13:11
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