RT Conference Proceedings
T1 Application of the Extended Kalman filter to fuzzy modeling : algorithms and practical implementation
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 Modeling phase is fundamental both in the analysisprocess of a dynamic system and the design ofa control system. If this phase is in-line is evenmore critical and the only information of the systemcomes from input/output data. Some adaptationalgorithms for fuzzy system based on extendedKalman filter are presented in this paper, which allowsobtaining accurate models without renouncethe computational efficiency that characterizes theKalman filter, and allows its implementation in-linewith the process.
PB Atlantis Press
YR 2011
FD 2011-07
LK http://hdl.handle.net/10272/11461
UL http://hdl.handle.net/10272/11461
LA eng
NO Barragán Piña, A.J., Andujar Marquez, J.M., Aznar Torres, M.J., Jiménez Avello, A., Al-Hadithi, B.M.: " Application of the Extended Kalman filter to fuzzy modeling: Algorithms and practical implementation". En: "EUSFLAT-2011 and LFA-2011", 18/07/2011 - 22/07/2011, Aix-lesBains, Francia. ISBN 978-90-78677-00-0. págs. 691-698. (2011)
DS Repositorio Institucional de la Universidad de Huelva
RD 30 may 2026