Model Predictive Controller

Model Predictive Control (MPC) is an advanced control technique that optimizes a system's trajectory over a future time horizon, considering constraints and predictions of the system's dynamics. Current research emphasizes integrating MPC with other methods, such as reinforcement learning and Gaussian processes, to enhance robustness and handle uncertainties in complex systems like autonomous vehicles, robots, and UAVs. This focus is driven by the need for safe, efficient, and adaptable control in increasingly dynamic and unpredictable environments, impacting diverse fields from robotics and aerospace to process control and traffic management.