Application of the Extended Kalman filter to fuzzy modeling : algorithms and practical implementation
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Publication Date
2011-07 -
Publisher
Atlantis Press -
Citation
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) -
Abstract
Modeling phase is fundamental both in the analysis process of a dynamic system and the design of a control system. If this phase is in-line is even more critical and the only information of the system comes from input/output data. Some adaptation algorithms for fuzzy system based on extended Kalman filter are presented in this paper, which allows obtaining accurate models without renounce the computational efficiency that characterizes the Kalman filter, and allows its implementation in-line with the process.
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Application_of_the_extended.pdf | 1.139Mb | View/ | There is no description for this item |
Fichero | Tamaño | Formato |
| Description |
---|---|---|---|---|
Application_of_the_extended.pdf | 1.139Mb | View/ | There is no description for this item |