Example Concept: PID controllers are simple and effective for systems where the dynamics are well understood and can be controlled with linear feedback. They are widely used for tasks like maintaining a setpoint in temperature control or motor speed regulation. MPC, on the other hand, is suitable for complex systems with constraints and multi-variable interactions, such as robotic arms with multiple joints or autonomous vehicles navigating dynamic environments. MPC optimizes the control inputs by solving a constrained optimization problem at each time step, considering future predictions and system constraints.