Sl MPC

Model Predictive Control (MPC) is a powerful control technique optimizing future system behavior by solving a series of short-horizon optimization problems. Current research focuses on improving MPC's efficiency and applicability in complex scenarios, including addressing computational limitations through edge computing and policy learning with neural networks, enhancing robustness to noise and incomplete data via probabilistic methods, and developing safe and deadlock-free navigation algorithms for robots. These advancements are significantly impacting various fields, from autonomous driving and robotics to secure machine learning inference, by enabling more efficient, reliable, and adaptable control systems.