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Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter
Citation
Barragán Piña, Antonio Javier and Andujar Marquez, Jose Manuel and Aznar Torres, Mariano Jose and Jiménez Avello, Agustín and Al-Hadithi, Basil M. (2011). Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter. In: "EUSFLAT-2011 and LFA-2011", 18/07/2011 - 18/07/2011, Aix-lesBains. France. ISBN 978-90-78677-00-0. pp. 686-690.
Description
| Title: | Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter |
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| Author/s: |
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| Item Type: | Presentation at Congress or Conference (Article) |
| Event Title: | EUSFLAT-2011 and LFA-2011 |
| Event Dates: | 18/07/2011 - 18/07/2011 |
| Event Location: | Aix-lesBains. France |
| Title of Book: | Proceedings of EUSFLAT-2011 and LFA-2011 |
| Date: | 2011 |
| ISBN: | 978-90-78677-00-0 |
| Subjects: | |
| Faculty: | E.T.S.I. Industriales (UPM) |
| Department: | Automática, Ingeniería Electrónica e Informática Industrial [hasta 2014] |
| Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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
More information
| Item ID: | 12774 |
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| DC Identifier: | https://oa.upm.es/12774/ |
| OAI Identifier: | oai:oa.upm.es:12774 |
| Official URL: | http://www.atlantis-press.com/publications/aisr/eusflat-11/index_eusflat-11.html?http%3A//www.atlantis-press.com/php/paper-details.php%3Fid%3D2250 |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 13 Dec 2012 18:06 |
| Last Modified: | 21 Apr 2016 12:03 |
