Based on the 1/2 automobile nonlinear model and the diagonally recurrent neural network model, an automobile semi-active suspension system using neural network control and simulation is established. An off-line identification is proceeded on this model using an optimal control. Neural control and simulation are also performed on this model and the simulative results are analyzed and summarized.


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    Titel :

    An automobile semi-active suspension system using neural network control and simulation


    Beteiligte:
    Rong, Yiming (Autor:in) / Bao, Xiangying (Autor:in)


    Erscheinungsdatum :

    2004


    Format / Umfang :

    4 Seiten, 4 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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