Title | ||
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A Local Learning Approach To Real-Time Parameter Estimation - Application To An Aircraft |
Abstract | ||
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This paper proposes an approach based upon local learning techniques and real-time parameter estimation, to tune an aircraft sideslip estimator using radial-basis neural networks, during a flight test. After a presentation of the context, we recall the local model approach to radial-basis networks. The application to the estimation of the sideslip angle of an aircraft, is then described and the various results and analyses are detailled at the end before suggesting some improvement directions. |
Year | Venue | Keywords |
---|---|---|
2007 | ICINCO 2007: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL SPSMC: SIGNAL PROCESSING, SYSTEMS MODELING AND CONTROL | local learning, radial-basis neural networks, real-time parameter estimation |
Field | DocType | Citations |
Local learning,Control engineering,Engineering,Estimation theory | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Lilian Ronceray | 1 | 0 | 0.68 |
Matthieu Jeanneau | 2 | 0 | 0.68 |
Daniel Alazard | 3 | 8 | 5.86 |
Philippe Mouyon | 4 | 14 | 2.79 |
Sihem Tebbani | 5 | 12 | 7.61 |