In this study, CMAC (Cerebellar Model Articulated Controller) neural architectures are shown to be viable for the purposes of real-time learning and control. An adaptive critic temporal difference neurocontrol design has been implemented that learns in real-time how to back up a trailer truck along a fixed straight line trajectory. The truck backer-upper experiment is a standard performance measure in the neural network literature, but previously the training of the controllers was done off-line. With the CMAC neural architectures, it was possible to train the neurocontrollers on-line in real-time on a MS-DOS PC 386.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Titel :

    Controlling a truck with an adaptive critic temporal difference CMAC design


    Beteiligte:


    Erscheinungsdatum :

    1993-01-01


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch


    Schlagwörter :


    Controlling a truck with an adaptive critic CMAC design

    Shelton, R.O. / Peterson, J.K. | Tema Archiv | 1992


    CMAC 2004

    Online Contents | 2004


    CMAC -- Global Airspace

    Harrison, Mike | Online Contents | 2007



    Recurrent CMAC sliding mode adaptive control for flying robot

    Li, Qingwei / Duan, Hongun | Tema Archiv | 2011