NDLI: Neuromuscular Electrical Stimulation With an Uncertain Muscle Contraction Model

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Wang, Q. Dinh, H. Bellman, M. Dixon, W. E.
Copyright Year	2012
Abstract	Neuromuscular electrical stimulation (NMES) is a technique that is widely used as a tool for rehabilitation and restoration of basic functions for people suffering from upper motor neuron lesion (UMNL). Closed-loop methods have shown a potential for improving the effectiveness of NMES. In this paper, uncertainties in the muscle contraction dynamics are taken into consideration when compensating for the muscle contraction dynamics. Accounting for the muscle contraction dynamics is a challenge because of uncertainty, nonlinearity and the fact that the contraction states are not measurable. A neural-network (NN)-based controller together with a dynamic NN-based identifier is designed to enable semi-global uniformly ultimately bounded tracking of a desired limb trajectory and on-line estimation of the limb acceleration. The overall stability of the identifier-controller system is analyzed through Lyapunov methods. Simulation results are provided to illustrate the controller performance.
Sponsorship	Dynamic Systems and Control Division
Starting Page	519
Ending Page	528
Page Count	10
File Format	PDF
ISBN	9780791845301
DOI	10.1115/DSCC2012-MOVIC2012-8847
Volume Number	Volume 2: Legged Locomotion; Mechatronic Systems; Mechatronics; Mechatronics for Aquatic Environments; MEMS Control; Model Predictive Control; Modeling and Model-Based Control of Advanced IC Engines; Modeling and Simulation; Multi-Agent and Cooperative Systems; Musculoskeletal Dynamic Systems; Nano Systems; Nonlinear Systems; Nonlinear Systems and Control; Optimal Control; Pattern Recognition and Intelligent Systems; Power and Renewable Energy Systems; Powertrain Systems
Conference Proceedings	ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference
Language	English
Publisher Date	2012-10-17
Publisher Place	Fort Lauderdale, Florida, USA
Access Restriction	Subscribed
Subject Keyword	Uncertainty Stability Accounting Control equipment Artificial neural networks Motors Neuromuscular stimulation Engines Simulation results Dynamics (mechanics) Trajectories (physics) Muscle Lyapunov methods
Content Type	Text
Resource Type	Article

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