The role of artificial neural networks in control of complex systems is seeing a rapid growth due to the potential of these networks to emulate complex, non-linear systems and thus help in the automated control of such systems. An important area in automatic control is the adaptive control. Strong connections between concepts from immunology, genetic algorithms, and adaptive neurocontrol are drawn. Immunology is the science of in-built defense mechanism that is present in all living beings to protect them against external attacks. The science of immunology has many parallels to the robust adaptive control problem. Some of these parallels are presented and based on these parallels, a procedure to realize an immunized neurocontrol structure is developed. Initial results of the implementation of this procedure in adaptive control of an uncertain UH-1 longitudinal helicopter model are included.


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    Title :

    Immunized neurocontrol - concepts and initial results


    Additional title:

    Immunisierte (robuste und adaptive) Regelung mit neuronalen Netzen - Konzepte und anfängliche Ergebnisse


    Contributors:


    Publication date :

    1992


    Size :

    23 Seiten, 10 Bilder, 1 Tabelle, 14 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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