@conference{10272/11462,
year = {2011},
url = {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.},
publisher = {Atlantis Press},
title = {Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter},
author = {Barragán Piña, Antonio Javier and Andújar Márquez, José Manuel and Aznar Torres, Mariano J. and Jiménez Avello, Agustín and Al-Hadithi, Basil Mohammed},
}