论文标题
机器学习和控制工程：无模型的情况
Machine learning and control engineering: The model-free case
论文作者
论文摘要
本文指出，无模型控制（MFC）必须与无模型的增强学习混淆，是机器学习的新工具（ML）。 MFC易于实施，应通过人工神经网络和/或增强学习将控制工程替换为ML。为了确认这一观点，已经通过当今的ML技术进行了一项实验室实验，该实验已经通过了当今的ML技术进行了研究。
This paper states that Model-Free Control (MFC), which must not be confused with Model-Free Reinforcement Learning, is a new tool for Machine Learning (ML). MFC is easy to implement and should be substituted in control engineering to ML via Artificial Neural Networks and/or Reinforcement Learning. A laboratory experiment, which was already investigated via today's ML techniques, is reported in order to confirm this viewpoint.
