2015
DOI: 10.1109/tnsre.2015.2418735
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Further Results on Predictor-Based Control of Neuromuscular Electrical Stimulation

Abstract: Electromechanical delay (EMD) and uncertain nonlinear muscle dynamics can cause destabilizing effects and performance loss during closed-loop control of neuromuscular electrical stimulation (NMES). Linear control methods for NMES often perform poorly due to these technical challenges. A new predictor-based closed-loop controller called proportional integral derivative controller with delay compensation (PID-DC) is presented in this paper. The PID-DC controller was designed to compensate for EMDs during NMES. F… Show more

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Cited by 42 publications
(24 citation statements)
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“…Examples of linear control methods include proportional integral derivative (PD/PID), linear quadratic Gaussian control, pole placement method, gain scheduling control method [13][14][15]. Nonlinear control methods [4][5][6][7][8][9][16][17][18] have also been recently developed for NMES. These nonlinear methods have improved performance over linear control methods.…”
Section: List Of Tablesmentioning
confidence: 99%
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“…Examples of linear control methods include proportional integral derivative (PD/PID), linear quadratic Gaussian control, pole placement method, gain scheduling control method [13][14][15]. Nonlinear control methods [4][5][6][7][8][9][16][17][18] have also been recently developed for NMES. These nonlinear methods have improved performance over linear control methods.…”
Section: List Of Tablesmentioning
confidence: 99%
“…These nonlinear methods have improved performance over linear control methods. Robust nonlinear control of NMES is especially more relevant, and controllers have been developed to compensate for the nonlinear and uncertain muscles dynamics [5,7], time-varying phenomena such as muscle fatigue [19], and electromechanical delay [18,19].…”
Section: List Of Tablesmentioning
confidence: 99%
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