Model Predictive Control

Model Predictive Control (MPC) is an advanced control strategy used in various engineering fields. It involves predicting future outcomes of a system based on a mathematical model. By calculating the best possible actions to achieve desired goals, MPC optimizes performance while considering constraints, like safety or resource limitations. At each time step, it evaluates and updates its predictions based on current data, aiming to make decisions that lead to the best overall results over a specified future horizon. This approach is widely applied in industries like robotics, manufacturing, and automotive systems for enhanced efficiency and responsiveness.