Adaptive Sliding Mode Control of Functional Electrical Stimulation (FES) for Tracking Knee Joint Movement

Li, M, Meng, W orcid.org/0000-0003-0209-8753, Hu, J et al. (1 more author) (2018) Adaptive Sliding Mode Control of Functional Electrical Stimulation (FES) for Tracking Knee Joint Movement. In: 2017 10th International Symposium on Computational Intelligence and Design (ISCID). ISCID 2017, 09-10 Dec 2017, Hangzhou, China. IEEE , pp. 346-349. ISBN 978-1-5386-3675-6

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Copyright, Publisher and Additional Information: (c) 2017, IEEE. This is an author produced version of a paper published in 2017 10th International Symposium on Computational Intelligence and Design. Uploaded in accordance with the publisher's self-archiving policy. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: functional electrical stimulation; knee movement tracking; neural network; sliding mode control
Dates:
  • Published: 1 February 2018
  • Accepted: 16 November 2017
  • Published (online): 1 February 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 01 May 2019 15:08
Last Modified: 01 May 2019 15:08
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/ISCID.2017.53
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