RT Conference Proceedings
T1 Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter
A1 Barragán Piña, Antonio Javier
A1 Andújar Márquez, José Manuel
A1 Aznar Torres, Mariano J.
A1 Jiménez Avello, Agustín
A1 Al-Hadithi, Basil Mohammed
AB 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.
PB Atlantis Press
YR 2011
FD 2011
LK http://hdl.handle.net/10272/11462
UL http://hdl.handle.net/10272/11462
LA eng
NO 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)
DS Repositorio Institucional de la Universidad de Huelva
RD 2 jun 2026