A multiple neural network structure called cascaded CMAC (Cerebella Model Arithmetic Computer) is proposed for solving the problem of dynamic control of a parallel-link manipulator. The cascaded CMAC networks can provide faster learning capability and the ability to capture both general trends and fine details of an unknown nonlinear mapping. Simulation results are given.<>


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Dynamic control of a parallel link manipulator using CMAC neural network


    Beteiligte:
    Geng, Z. (Autor:in) / Haynes, L.S. (Autor:in)


    Erscheinungsdatum :

    01.01.1991


    Format / Umfang :

    571667 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Application of CMAC neural network to nonlinear predictive control

    He, J.-c. / Wang, H.-y. | British Library Online Contents | 2002


    Missile control using the Fuzzy CMAC neural networks

    Geng, Z / Xu, Roger / McCullough, Claire | AIAA | 1995


    CMAC neural network for the rudder dynamic load simulator of unmanned aerial vehicles

    Bo, Y. / Junkui, W. | British Library Online Contents | 2009



    On the Counting of Link Weight Matrix of CMAC Neural Network with Three-Dimention Input Variables

    Kai, A. / Chenguang, Z. / Zulian, Q. | British Library Online Contents | 1999