  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.
