论文标题
HAVOK模型的预测控制时间延迟系统，并应用于地区供暖
HAVOK Model Predictive Control for Time-Delay Systems with Applications to District Heating
论文作者
论文摘要
对于仅使用输入/输出数据的系统，提出了一种计算有效的模型预测控制（MPC）方法。我们使用Koopman操作员框架和相关的Koopman（HAVOK）算法的Hankel替代视图来识别预测的时间段坐标的基础上的模型，并演示了一种新颖的MPC结构，从而降低并界定了计算复杂性。拟议的HAVOK-MPC方法在实验室规模的区域供暖系统（DHS）上进行了实验验证，表明了出色的预测和跟踪性能，而仅需要了解保守的上层对系统延迟的知识。
A computationally efficient Model-Predictive Control (MPC) approach is proposed for systems with unknown delay using only input/output data. We use the Koopman operator framework and the related Hankel Alternative View of Koopman (HAVOK) algorithm to identify a model in a basis of projected time-delay coordinates and demonstrate a novel MPC structure that reduces and bounds the computational complexity. The proposed HAVOK-MPC approach is validated experimentally on a laboratory-scale District Heating System (DHS), demonstrating excellent prediction and tracking performance while only requiring knowledge of a conservative upper bound on the system delay.
