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Application of the Extended Kalman filter to fuzzy modeling: Algorithms and practical implementation
Citation
Barragán Piña, Antonio Javier, Andujar Marquez, Jose Manuel, Aznar Torres, Mariano Jose, Jiménez Avello, Agustín 
ORCID: https://orcid.org/0000-0003-4918-5918 and Al-Hadithi, Basil M.
(2011).
Application of the Extended Kalman filter to fuzzy modeling: Algorithms and practical implementation.
In: "EUSFLAT-2011 and LFA-2011", 18/07/2011 - 22/07/2011, Aix-lesBains, Francia. ISBN 978-90-78677-00-0. pp. 691-698.
Description
| Title: | Application of the Extended Kalman filter to fuzzy modeling: Algorithms and practical implementation |
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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 - 22/07/2011 |
| Event Location: | Aix-lesBains, Francia |
| 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
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
More information
| Item ID: | 12781 |
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| DC Identifier: | https://oa.upm.es/12781/ |
| OAI Identifier: | oai:oa.upm.es:12781 |
| Official URL: | http://www.atlantis-press.com/publications/aisr/eu... |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 13 Dec 2012 17:53 |
| Last Modified: | 21 Apr 2016 12:03 |
