In this paper, we propose data-driven control for the case of that the structure of the ideal controller is unknown. In this case, it is natural to implement FIR typed controller. Here, we utilize FRIT for the case of FIR typed inverse controller. In general, FIR might have unnecessarily large number of its taps. To prevent it, we also utilize LASSO regression so as to realize FIR typed inverse controller in as less numbers of the tap as possible. Moreover, we also utilize data-driven prediction to determine hyper parameters required in LASSO regression. The validity of our proposed method is verified by using experiments.

中文翻译：

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使用数据驱动预测和 LASSO 进行 FIR 型逆控制器的数据驱动控制

在本文中，我们针对理想控制器结构未知的情况提出了数据驱动控制。在这种情况下，很自然地要实现 FIR 类型的控制器。这里，我们将 FRIT 用于 FIR 型逆控制器的情况。一般来说，FIR 可能有不必要的大量抽头。为了防止这种情况，我们还利用LASSO回归来以尽可能少的抽头数实现FIR型逆控制器。此外，我们还利用数据驱动的预测来确定 LASSO 回归所需的超参数。通过实验验证了我们提出的方法的有效性。