摘要：AbstractThe burden of control adjustment of shaking table is increasing with the background of lack of skilled operators. With such background, there is a strong demand for a method to achieve desired control performance regardless of the operator’s skill. The data-driven control is a promising approach to meet this requirement. However, even though an actual controller has an input limit, the data-driven control cannot handle it. Therefor, we proposed a novel method that considers the input limit based on data-driven prediction and an optimal problem with a penalty function. We verified the effectiveness of the proposed method through experiments using a small shaking test device.
