A Hopfield neural network architecture is developed to solve the optimal control problem for homing missile guidance. A linear quadratic optimal control problem is formulated in the form of an efficient parallel computing device known as a Hopfield neural network. Convergence of the Hopfield network is analyzed from a theoretical perspective, showing that the network, as a dynamical system approaches a unique fixed point which is the solution to the optimal control problem at any instant during the missile pursuit. Several target-intercept scenarios are provided to demonstrate the use of the recurrent feedback neural net formulation.<>


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    Titel :

    Use of Hopfield neural networks in optimal guidance


    Beteiligte:
    Steck, J.E. (Autor:in) / Balakrishnan, S.N. (Autor:in)


    Erscheinungsdatum :

    1994-01-01


    Format / Umfang :

    710668 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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