Abstract
A new approach to sailboat self-steering problem based on the use of neural networks is presented. Aim of the neural controller is to emulate the human steering strategies carried out by an expert helmsman. Several neural network based control strategies have been assessed: a time domain numerical simulator of a sailing yacht dynamics has been used in order to check neural controller performances.
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References
Identificazione e Controllo del Comportamento Dinamico di Un’imbarcazione a Vela, Tesi di Laurea - Dipartimento di Meccanica del Politecnico di Milano (A. A 1999–2000)
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F. Fossati, G. Moschioni: Experimental technique for determination of forces acting on a sailboat rigging, 14 th Chesapeake Sailing Yacht Symposium
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© 2003 Springer-Verlag Berlin Heidelberg
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Fossati, F. (2003). Sailboat Dynamics Neural Network Identification and Control. In: Bonarini, A., Masulli, F., Pasi, G. (eds) Soft Computing Applications. Advances in Soft Computing, vol 18. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1768-3_18
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DOI: https://doi.org/10.1007/978-3-7908-1768-3_18
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-1544-3
Online ISBN: 978-3-7908-1768-3
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