论文标题
数据驱动的输出反馈预测控制：未知工厂的顺序和测量噪声
Data-driven Output-feedback Predictive Control: Unknown Plant's Order and Measurement Noise
论文作者
论文摘要
本文的目的是为多输入 - 销售 - 输出线性时间流动系统提出一种新的数据驱动控制方案，其系统模型是完全未知的。使用非最小值输入输出实现，只要已知其上限已知，就可以将提出的方法应用于系统顺序未知的情况。提出了针对测量噪声的解决方法，并通过模拟研究表明，在处理因测量噪声损坏的输入/输出数据时，提出的方法优于常规方法。
The aim of this paper is to propose a new data-driven control scheme for multi-input-multi-output linear time-invariant systems whose system model are completely unknown. Using a non-minimal input-output realization, the proposed method can be applied to the case where the system order is unknown, provided that its upper bound is known. A workaround against measurement noise is proposed and it is shown through simulation study that the proposed method is superior to the conventional methods when dealing with input/output data corrupted by measurement noise.
