Implementation of an adaptive fuzzy controller for FES-cycling system

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

An adaptive fuzzy logic control (AFLC) system has been designed for the control of functional electrical stimulation (FES) cycling system. Among the AFLC strategies, the fuzzy gain scheduling approach is adopted herein. The AFLC FES-cycling system is implemented in a stand alone digital signal processor which provides a compact device for clinical use.

Original languageEnglish
Pages (from-to)1119-1120
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume3
Publication statusPublished - 1997 Dec 1
EventProceedings of the 1997 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Chicago, IL, USA
Duration: 1997 Oct 301997 Nov 2

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Fuzzy Logic
Electric Stimulation
Fuzzy logic
Controllers
Digital signal processors
Scheduling
Control systems
Equipment and Supplies

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

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title = "Implementation of an adaptive fuzzy controller for FES-cycling system",
abstract = "An adaptive fuzzy logic control (AFLC) system has been designed for the control of functional electrical stimulation (FES) cycling system. Among the AFLC strategies, the fuzzy gain scheduling approach is adopted herein. The AFLC FES-cycling system is implemented in a stand alone digital signal processor which provides a compact device for clinical use.",
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