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

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  • Data-driven Estimated Iterative Feedback Tuning by One Shot Experimental Data

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<p>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.</p>

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