On using a support vector machine in learning feed-forward control

Bas J. de Kruif, Theo J.A. de Vries

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    23 Citations (Scopus)
    66 Downloads (Pure)

    Abstract

    For mechatronic motion systems, the performance increases significantly if, besides feedback control, also feed-forward control is used. This feed-forward part should contain the (stable part of the) inverse of the plant. This inverse is difficult to obtain if non-linear dynamics are present. To overcome this problem, learning feed-forward control can be applied. The properties of the learning mechanism are of importance in this setting. In the paper, a support vector machine is proposed as the learning mechanism. It is shown that this mechanism has several advantages over other learning techniques when applied to learning feed-forward control. The method is tested with simulations
    Original languageEnglish
    Title of host publication2001 IEEE/ASME International Conference on Advanced Intelligent Mechatronics
    Subtitle of host publicationproceedings
    Place of PublicationPiscataway, NJ
    PublisherIEEE
    Pages272-277
    Number of pages6
    ISBN (Electronic)0-7803-6737-5
    ISBN (Print)0-7803-6736-7
    DOIs
    Publication statusPublished - 1 Jul 2001
    Event2001 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2001 - Como, Italy
    Duration: 8 Jul 200112 Jul 2001

    Conference

    Conference2001 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2001
    Abbreviated titleAIM
    CountryItaly
    CityComo
    Period8/07/0112/07/01

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