Model Predictive

Model Predictive Control (MPC) is an advanced control technique that optimizes a system's future behavior by predicting its trajectory over a finite horizon, subject to constraints. Current research emphasizes enhancing MPC's performance and applicability through various avenues, including integrating it with vision-language models for autonomous driving, developing distributed and adaptive MPC algorithms for multi-agent systems and resource-constrained platforms, and employing machine learning techniques like imitation learning and neural networks to improve efficiency and robustness. These advancements are significantly impacting fields like robotics, autonomous vehicles, and aerospace, enabling more sophisticated control of complex systems in challenging environments.