Machine learning and control engineering: The model-free case

Michel Fliess; Cédric Join

doi:10.1007/978-3-030-63128-4_20

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arXiv · 2006.05738

Machine learning and control engineering: The model-free case

Michel Fliess·Cédric Join

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Abstract

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.

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Michel Fliess, Cédric Join. 2020-07-20. Machine learning and control engineering: The model-free case. https://doi.org/10.1007/978-3-030-63128-4_20

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