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

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2011

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Ingeniería Electrónica, de Sistemas Informáticos y Automática

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Center

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http://hdl.handle.net/10272/11462

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.

Keywords

Kalman filter; Estimation; Fuzzy system; Modeling

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Bibliographic citation

Barragán Piña, A.J., Andujar Marquez, J.M., Aznar Torres, M.J., Jiménez Avello, A., Al-Hadithi, B.M.: "Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter". En: "EUSFLAT-2011 and LFA-2011", 18/07/2011 - 18/07/2011, Aix-lesBains. France. ISBN 978-90-78677-00-0. págs. 686-690, (2011)

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