Function Approximation for Learning Control a key sample based approach

B.J. de Kruif

    Research output: ThesisPhD Thesis - Research UT, graduation UT

    46 Downloads (Pure)

    Abstract

    Two function approximators are introduced in this thesis for use in learning control. These function approximators identify a relation between input and output based on samples. Two different, but closely related function approximators are introduced: the key sample machine and the recursive key sample machine.
    Original languageUndefined
    Supervisors/Advisors
    • van Amerongen, Jacob , Supervisor
    • de Vries, Theodorus J.A., Advisor
    Award date18 Jun 2004
    Place of PublicationEnschede
    Publisher
    Print ISBNs90-365-2050-9
    Publication statusPublished - 18 Jun 2005

    Keywords

    • METIS-220433
    • IR-41474

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