Model-Based Predictive Control

Model-based control that uses a learned or analytical dynamics model to predict future system states and optimize control inputs over a receding horizon. MBPC combines the data efficiency of model-based methods with MPC's constraint handling. In robot learning, neural network dynamics models enable MBPC for contact-rich manipulation without hand-crafted reward functions.