title: |
Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
| pages: | 686 - 690 | |
DOI: |
To be assigned soon (how to use a DOI) | |
author(s): |
A. Javier, Jos¨¦ M., Mariano J., Agust¨ªn Jim¨¦nez, Basil M. |
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publication date: |
July 2011 |
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keywords: |
Kalman filter, estimation, fuzzy system, modeling. |
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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. |
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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |