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.
@article{arxiv.2006.05738,
title = {Machine learning and control engineering: The model-free case},
author = {Michel Fliess and Cédric Join},
journal= {arXiv preprint arXiv:2006.05738},
year = {2020}
}