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Disturbance compensation incorporated in predictive control system using a repetitive learning approach.

, , , and . Syst. Control. Lett., 56 (1): 75-82 (2007)

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Probabilistic Approach Towards Error Compensation for Precision Machines., , , , , and . IIA/SOCO, ICSC Academic Press, Rochester, NY, USA, (1999)Intelligent Precision Motion Control., , , and . Innovations in Robot Mobility and Control, volume 8 of Studies in Computational Intelligence, Springer, (2005)Trajectory Generation by Chance Constrained Nonlinear MPC with Probabilistic Prediction., , , , , and . CoRR, (2020)Design of vehicle following control systems with actuator delays., and . Int. J. Syst. Sci., 28 (2): 145-151 (1997)Design and performance evaluation of mixed manual and automated control traffic., , and . IEEE Trans. Syst. Man Cybern. Part A, 30 (6): 661-673 (2000)Semi-Definite Relaxation Based ADMM for Cooperative Planning and Control of Connected Autonomous Vehicles., , , , , and . CoRR, (2021)Receding Horizon Motion Planning for Multi-Agent Systems: A Velocity Obstacle Based Probabilistic Method., , , , and . CoRR, (2021)Human-machine cooperative control for ethylene production., , and . Artif. Intell. Eng., 9 (3): 203-209 (1995)Path planning of collision avoidance for unmanned ground vehicles: A nonlinear model predictive control approach., , , and . J. Syst. Control. Eng., (2021)Disturbance compensation incorporated in predictive control system using a repetitive learning approach., , , and . Syst. Control. Lett., 56 (1): 75-82 (2007)