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.
|Title of host publication||Proceedings of the 13th World Congress International Federation of Automatic Control|
|Subtitle of host publication||San Francisco, USA, 30th June-5th July 1996|
|Place of Publication||New York, NY|
|Number of pages||6|
|Publication status||Published - 30 Jun 1996|
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.