Model reference adaptive control

Model Reference Adaptive Control (MRAC) is a method used to automatically adjust a control system so it can accurately follow a desired behavior, even if the system's characteristics change over time. It works by comparing the actual system output to a predefined ideal model's output. If there's a difference, the control parameters are adaptively tuned to minimize this error, ensuring the system behaves as intended. This approach allows systems to maintain performance and stability in dynamic environments by continuously learning and correcting their control actions.