データ駆動予測を用いた1回の実験によるIterative Feedback Tuning

抄録

Iterative Feedback Tuning (IFT) is a simple approach to obtain a controller that achieves the target response. However, it requires many experiments to update the parameters. In this study, we propose a new control parameter tuning method based on IFT. As a main contribution of this study, the proposed method can reduce experiment the number of the iterated experiment for parameter tuning using the data-driven estimation. Finally, we show the usefulness of the proposed method used in experimental validation.