Data-driven reference governor for two-degree of freedom control

In this study, we proposed a novel data-driven approach for two-degree of freedom controls. The proposed method derived the reference governor for improving control performances using one-shot experiment data. This method requires a low cost for designing control systems because of model-free methods. The validity of the proposed approach is investigated via numerical simulations and experimental verifications. From verification results, the desired control response is achieved by the reference governor based on our methods, without redesigning the feedback and feedforward controllers.