A LOCAL LEARNING APPROACH TO REAL-TIME PARAMETER ESTIMATION - Application to an Aircraft

Lilian Ronceray, Matthieu Jeanneau, Daniel Alazard, Philippe Mouyon, Sihem Tebbani

2007

Abstract

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.

References

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Paper Citation


in Harvard Style

Ronceray L., Jeanneau M., Alazard D., Mouyon P. and Tebbani S. (2007). A LOCAL LEARNING APPROACH TO REAL-TIME PARAMETER ESTIMATION - Application to an Aircraft . In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 978-972-8865-84-9, pages 399-403. DOI: 10.5220/0001635103990403


in Bibtex Style

@conference{icinco07,
author={Lilian Ronceray and Matthieu Jeanneau and Daniel Alazard and Philippe Mouyon and Sihem Tebbani},
title={A LOCAL LEARNING APPROACH TO REAL-TIME PARAMETER ESTIMATION - Application to an Aircraft},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2007},
pages={399-403},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001635103990403},
isbn={978-972-8865-84-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - A LOCAL LEARNING APPROACH TO REAL-TIME PARAMETER ESTIMATION - Application to an Aircraft
SN - 978-972-8865-84-9
AU - Ronceray L.
AU - Jeanneau M.
AU - Alazard D.
AU - Mouyon P.
AU - Tebbani S.
PY - 2007
SP - 399
EP - 403
DO - 10.5220/0001635103990403