title: |
Application of the Extended Kalman filter to fuzzy modeling: Algorithms and practical implementation |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
| pages: | 691 - 698 | |
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: |
Algorithm, Kalman filter, estimation,
fuzzy system, modeling. |
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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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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: |