Model Predictive Control (MPC) is an advanced control strategy used in various engineering applications. It works by predicting the future behavior of a system using a mathematical model. By evaluating different control actions over a specified time horizon, MPC selects the best action to optimize performance while adhering to constraints. MPC continuously updates its predictions based on real-time data, allowing it to adapt to changes in the system or environment. This makes it particularly effective for complex systems, such as automotive, aerospace, and process control, where maintaining optimal performance is crucial.