Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter

Barragán Piña, Antonio Javier and Andujar Marquez, Jose Manuel and Aznar Torres, Mariano Jose and Jiménez Avello, Agustín and Al-Hadithi, Basil M. (2011). Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter. In: "EUSFLAT-2011 and LFA-2011", 18/07/2011 - 18/07/2011, Aix-lesBains. France. ISBN 978-90-78677-00-0. pp. 686-690.

Description

Title: Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter
Author/s:
  • Barragán Piña, Antonio Javier
  • Andujar Marquez, Jose Manuel
  • Aznar Torres, Mariano Jose
  • Jiménez Avello, Agustín
  • Al-Hadithi, Basil M.
Item Type: Presentation at Congress or Conference (Article)
Event Title: EUSFLAT-2011 and LFA-2011
Event Dates: 18/07/2011 - 18/07/2011
Event Location: Aix-lesBains. France
Title of Book: Proceedings of EUSFLAT-2011 and LFA-2011
Date: 2011
ISBN: 978-90-78677-00-0
Subjects:
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

When we try to analyze and to control a system whose model was obtained only based on input/output data, accuracy is essential in the model. On the other hand, to make the procedure practical, the modeling stage must be computationally efficient. In this regard, this paper presents the application of extended Kalman filter for the parametric adaptation of a fuzzy model

More information

Item ID: 12774
DC Identifier: http://oa.upm.es/12774/
OAI Identifier: oai:oa.upm.es:12774
Official URL: http://www.atlantis-press.com/publications/aisr/eusflat-11/index_eusflat-11.html?http%3A//www.atlantis-press.com/php/paper-details.php%3Fid%3D2250
Deposited by: Memoria Investigacion
Deposited on: 13 Dec 2012 18:06
Last Modified: 21 Apr 2016 12:03
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