A fuzzy-neural control system simulation was developed for the control of a camera platform used to observe aircraft on final approach to an aircraft carrier. The fuzzy-neural approach to control combines the structure of a fuzzy knowledge base with a supervised neural network's ability to adapt and improve. The performance characteristics of this hybrid system were compared to those of a fuzzy system and a neural network system developed independently to determine if the fusion of these two technologies offers any advantage over the use of one or the other. The results of this study indicate that the fuzzy-neural approach to control offers some advantages over either fuzzy or neural control alone.


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    Titel :

    Fuzzy-Neural Control of an Aircraft Tracking Camera Platform


    Beteiligte:
    D. Mcgrath (Autor:in)

    Erscheinungsdatum :

    1994


    Format / Umfang :

    7 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch





    Fuzzy-Neural Control of an Aircraft Tracking Camera Platform

    United States; National Aeronautics and Space Administration | British Library Conference Proceedings | 1993


    Fuzzy-Neural Control of an Aircraft Tracking Camera Platform

    McGrath, D. / ASME; Dynamic Systems and Control Division | British Library Conference Proceedings | 1993


    Fuzzy logic control for camera tracking system

    Lea, Robert N. / Fritz, R. H. / Giarratano, J. et al. | NTRS | 1992


    Fuzzy Logic Control for Camera Tracking System

    R. N. Lea / R. H. Fritz / J. Giarratano et al. | NTIS | 1992