The fuzzy model reference learning controller (FMRLC) primarily focuses on improving existing learning control approaches or introducing new ones. A comparative analysis of the FMRLC and conventional model reference adaptive control (MRAC) for a cargo ship steering application is provided. The main objective is to make an initial assessment of what advantages (if any) a fuzzy learning control approach has over conventional adaptive control approaches.<>


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    Title :

    Fuzzy model reference learning control for cargo ship steering


    Contributors:
    Layne, J.R. (author) / Passino, K.M. (author)


    Publication date :

    1993-01-01


    Size :

    596304 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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