Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-11)

Application of the Extended Kalman filter to fuzzy modeling: Algorithms and practical implementation

Authors
Antonio Javier Barragán Piña, José Manuel Andújar Márquez, Mariano J. Aznar Torres, Agustín Jiménez, Basil M Al-Hadithi
Corresponding Author
Antonio Javier Barragán Piña
Available Online August 2011.
DOI
https://doi.org/10.2991/eusflat.2011.23How to use a DOI?
Keywords
Algorithm, Kalman filter, estimation, fuzzy system, modeling.
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.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2011
ISBN
978-90-78677-00-0
DOI
https://doi.org/10.2991/eusflat.2011.23How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Antonio Javier Barragán Piña
AU  - José Manuel Andújar Márquez
AU  - Mariano J. Aznar Torres
AU  - Agustín Jiménez
AU  - Basil M Al-Hadithi
PY  - 2011/08
DA  - 2011/08
TI  - Application of the Extended Kalman filter to fuzzy modeling: Algorithms and practical implementation
BT  - Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 691
EP  - 698
UR  - https://doi.org/10.2991/eusflat.2011.23
DO  - https://doi.org/10.2991/eusflat.2011.23
ID  - Piña2011/08
ER  -