A new hybrid tracking controller for neuromuscular electrical stimulation is proposed. The control scheme uses sampled measurements and is designed by utilizing a numerical prediction of the state variables. The tracking error of the closed-loop system converges exponentially to zero and robustness to perturbations of the sampling schedule is exhibited. One of the novelties of our approach is the ability to satisfy a state constraint imposed by the physical system.
@article{arxiv.1310.1857,
title = {Predictor-Based Tracking For Neuromuscular Electrical Stimulation},
author = {Iasson Karafyllis and Michael Malisoff and Marcio de Queiroz and Miroslav Krstic},
journal= {arXiv preprint arXiv:1310.1857},
year = {2013}
}