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Machine learning and control engineering: The model-free case

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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https://hal-polytechnique.archives-ouvertes.fr/hal-02851119
Contributor : Michel Fliess Connect in order to contact the contributor
Submitted on : Sunday, June 7, 2020 - 9:45:39 PM
Last modification on : Saturday, October 16, 2021 - 11:14:16 AM

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  • HAL Id : hal-02851119, version 1
  • ARXIV : 2006.05738
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Michel Fliess, Cédric Join. Machine learning and control engineering: The model-free case. Future Technologies Conference, FTC 2020, Nov 2020, Vancouver, Canada. ⟨hal-02851119v1⟩

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