Adaptive Inverse Optimal Neuromuscular Electrical Stimulation

作者：Wang Qiang^*; Sharma Nitin; Johnson Marcus; Gregory Chris M; Dixon Warren E

来源：IEEE Transactions on Cybernetics, 2013, 43(6): 1710-1718.

DOI：10.1109/TSMCB.2012.2228259

• Functional electrical stimulation (FES)
• inverse optimal control
• Lyapunov stability
• neural network (NN)
• neuromuscular electrical stimulation
• nonlinear system control

Neuromuscular electrical stimulation (NMES) is a prescribed treatment for various neuromuscular disorders, where an electrical stimulus is provided to elicit a muscle contraction. Barriers to the development of NMES controllers exist because the muscle response to an electrical stimulation is nonlinear and the muscle model is uncertain. Efforts in this paper focus on the development of an adaptive inverse optimal NMES controller. The controller yields desired limb trajectory tracking while simultaneously minimizing a cost functional that is positive in the error states and stimulation input. The development of this framework allows tradeoffs to be made between tracking performance and control effort by putting different penalties on error states and control input, depending on the clinical goal or functional task. The controller is examined through a Lyapunov-based analysis. Experiments on able-bodied individuals are provided to demonstrate the performance of the developed controller.

• 出版日期2013-12