论文标题
描述符系统的数据驱动的MPC：电力网络的案例研究
Data-driven MPC of descriptor systems: A case study for power networks
论文作者
论文摘要
最近，线性系统的数据驱动预测控制已受到广泛的研究关注。它取决于Willems等人的基本引理。在上一篇论文中，我们已经展示了该框架如何应用于线性时间不变的描述符系统的预测控制。在本文中，我们介绍了一个案例研究，其中我们将数据驱动的预测控制应用于通过离散化九名总车系统通过离散化电力式方程获得的离散描述符模型。我们的结果表明了拟议的控制方案的功效，它们是数据驱动框架控制描述符系统的前景。
Recently, data-driven predictive control of linear systems has received wide-spread research attention. It hinges on the fundamental lemma by Willems et al. In a previous paper, we have shown how this framework can be applied to predictive control of linear time-invariant descriptor systems. In the present paper, we present a case study wherein we apply data-driven predictive control to a discrete-time descriptor model obtained by discretization of the power-swing equations for a nine-bus system. Our results shows the efficacy of the proposed control scheme and they underpin the prospect of the data-driven framework for control of descriptor systems.
