ABSTRACT The algorithm of ship course stabilization herein presented is based on a feedback linearization controller with adaptive object model. The described method, consisting in current approximation of unknown object model functions by neuro-fuzzy approximators, represents a new generation of adaptive control methods. The implementation of this algorithm, which may constitute an executive module of a navigational decision support system, will contribute to a higher degree of automation and navigational safety improvement.


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    Title :

    Ship course stabilization by feedback linearization with adaptive object model


    Contributors:

    Published in:

    Publication date :

    2013




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    Unknown


    Classification :

    BKL:    55.40 Schiffstechnik, Schiffbau / 50.92 Meerestechnik



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