This paper is concerned with an investigation into use of artificial neural networks in the designing of fuzzy autopilots for controlling the non-linear yaw dynamics of a modern Royal Navy warship model. Artificial neural networks are used to tune the consequent portion of the fuzzy conditional statements which constitute the fuzzy autopilots and comparisions are made between several training algorithms and two different network structures. Results are presented to show the viability of such an approach and that effective designs can be produced.


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    Titel :

    Tuning fuzzy ship autopilots using artificial neural networks


    Beteiligte:
    Sutton, R. (Autor:in) / Roberts, G.N. (Autor:in) / Taylor, S.D.H. (Autor:in)


    Erscheinungsdatum :

    1997


    Format / Umfang :

    13 Seiten, 10 Bilder, 6 Tabellen, 27 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch




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    Optimization of Fuzzy Autopilots

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    Helicopter autopilots

    Collomosse, H. / Curties, M.C. | Engineering Index Backfile | 1956



    Design of Limited Authority Adaptive Ship Steering Autopilots

    Nejim, S. / International Federation of Automatic Control | British Library Conference Proceedings | 1999