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Adaptive Control Design for Human Handwriting Process Based on Electromyography Signals.

, , and . Complex., (2020)

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Reconstitution of Electromyographic Signals from Pen-Tip Velocity., , and . SoSE, page 327-331. IEEE, (2012)Revisited adaptive sliding mode control of underactuated mechanical systems with real-time experiments., and . Int. J. Model. Identif. Control., 37 (3/4): 344-353 (2021)Adaptive Control Design for Human Handwriting Process Based on Electromyography Signals., , and . Complex., (2020)Disturbance Observer-Based Super-Twisting Control for the Inertia Wheel Inverted Pendulum., , and . SSD, page 747-752. IEEE, (2020)Stabilization of the Inertia Wheel Inverted Pendulum by Advanced IDA-PBC Based Controllers: Comparative Study and Real-Time Experiments., , and . SSD, page 753-760. IEEE, (2020)Tracking control of nonlinear systems via backstepping design., , and . SSD, page 1-6. IEEE, (2015)Multi-model approach to characterize human handwriting motion., , and . Biol. Cybern., 110 (1): 17-30 (2016)Estimation of actuator faults for system with unpredictable inputs., , , and . ICCAD, page 169-173. IEEE, (2017)Internal model control to characterize human handwriting motion., , and . Int. Arab J. Inf. Technol., 14 (6): 861-869 (2017)On the use of ARMAX approach for handwriting system modelization., , and . CoDIT, page 453-458. IEEE, (2014)