Implementation of an adaptive fuzzy controller for FES-cycling system

Bao Ting Ann; Jia-Jin Chen; Ming-Shaung Ju

Implementation of an adaptive fuzzy controller for FES-cycling system

Bao Ting Ann, Jia-Jin Chen, Ming-Shaung Ju

Research output: Contribution to journal › Conference article › peer-review

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 language	English
Pages (from-to)	1119-1120
Number of pages	2
Journal	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume	3
Publication status	Published - 1997 Dec 1
Event	Proceedings of the 1997 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Chicago, IL, USA Duration: 1997 Oct 30 → 1997 Nov 2

All Science Journal Classification (ASJC) codes

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

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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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year = "1997",

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note = "Proceedings of the 1997 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ; Conference date: 30-10-1997 Through 02-11-1997",

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AU - Chen, Jia-Jin

AU - Ju, Ming-Shaung

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N2 - 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.

AB - 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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JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

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