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Title: Iterative learning feedback control of human limbs via functional electrical stimulation
Authors: Dou, H. 
Tan, K.K. 
Lee, T.H. 
Zhou, Z.
Keywords: Discrete-time nonlinear systems
Functional neuromuscular stimulation
Input saturation
Iterative learning control
Nonlinear muscle models
Tracking control
Issue Date: Mar-1999
Citation: Dou, H.,Tan, K.K.,Lee, T.H.,Zhou, Z. (1999-03). Iterative learning feedback control of human limbs via functional electrical stimulation. Control Engineering Practice 7 (3) : 315-325. ScholarBank@NUS Repository.
Abstract: A high-order iterative learning controller (ILC) is proposed for the tracking control of an electrically stimulated human limb that is repeatedly required to perform a given task. The limb is actuated by the muscles, which are out of the control of the central nerve systems (CNS), through functional electrical stimulation (FES) or functional neuromuscular stimulation (FNS). By using the proposed discrete-time high-order P-type ILC updating law and the PD-type feedback controller, it is shown that the proposed control strategy, which learns from repetitions, provides strong robustness in tracking control of the uncertain time-varying FES systems, which is essential for the adaptation and customization of FES applications. The effectiveness of the proposed control scheme is demonstrated by simulation results on a one-segment planar system. Some experimental results are also presented to validate the proposed control method. © 1999 Elsevier Science Ltd. All rights reserved.
Source Title: Control Engineering Practice
ISSN: 09670661
Appears in Collections:Staff Publications

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