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Paper detail

Predictor-Based Tracking For Neuromuscular Electrical Stimulation

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.

preprint2013arXivOpen access
Iasson KarafyllisMichael MalisoffMarcio de QueirozMiroslav Krstic
Systems and Controlmath.OC
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Open access4 authors2 topics
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Citations: 0Reviews: 0Saves: 0Code: not linkedDataset: not linkedInstitutions: 0

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Iasson KarafyllisMichael MalisoffMarcio de QueirozMiroslav Krstic

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