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Sailboat Dynamics Neural Network Identification and Control

  • Fabio Fossati
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 18)

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.

Keywords

Neural Controller Neural Network Controller Neural Network Identification Inverse Control Boat Speed 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    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)Google Scholar
  2. 2.
    R. Hecht-Nielsen: Neurocomputing, Addison-Wesley Publishing Co., 1987Google Scholar
  3. 3.
    F. Fossati, G. Diana: Principi di funzionamento di un’imbarcazione a vela, Edizioni Spiegel Google Scholar
  4. 4.
    F. Fossati, G. Moschioni: Experimental technique for determination of forces acting on a sailboat rigging, 14 th Chesapeake Sailing Yacht Symposium Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Fabio Fossati
    • 1
  1. 1.Dipartimento di Ingegneria Industriale e Meccanica Facoltà di IngegneriaUniversità degli Studi di CataniaCataniaItaly

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