Fuzzy and learning control of fes induced gait

T.J.A. de Vries, W.J.R. Velthuis, J. van Amerongen, P.H. Veltink

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

    4 Downloads (Pure)

    Abstract

    Research is done to restore gait by means of functional electrical stimulation for people suffering from paraplegia. Difficulties are that muscle fatigue and heavily changing patient conditions deteriorate the performance of such systems. The design of feedback controllers is considered that adapt stimulation parameters to compensate for this deterioration. Conventional control (PID) gives good performance when muscle and leg dynamics are known, but requires recurring identification. By using fuzzy controllers based on general, qualitative knowledge, and by providing self-tuning capabilities through learning, identification might be avoided. Simulation studies confirm this.
    Original languageEnglish
    Title of host publicationProceedings of the 13th World Congress International Federation of Automatic Control
    Subtitle of host publicationSan Francisco, USA, 30th June-5th July 1996
    Place of PublicationNew York, NY
    PublisherPergamon Press
    Pages421-426
    Number of pages6
    VolumeK
    ISBN (Print)9780080429199
    Publication statusPublished - 30 Jun 1996

    Fingerprint Dive into the research topics of 'Fuzzy and learning control of fes induced gait'. Together they form a unique fingerprint.

  • Cite this

    de Vries, T. J. A., Velthuis, W. J. R., van Amerongen, J., & Veltink, P. H. (1996). Fuzzy and learning control of fes induced gait. In Proceedings of the 13th World Congress International Federation of Automatic Control: San Francisco, USA, 30th June-5th July 1996 (Vol. K, pp. 421-426). New York, NY: Pergamon Press.