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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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Contributor : Michel Fliess Connect in order to contact the contributor
Submitted on : Monday, July 6, 2020 - 7:37:54 PM
Last modification on : Wednesday, November 3, 2021 - 7:08:48 AM


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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. pp. 258-278, ⟨10.1007/978-3-030-63128-4_20⟩. ⟨hal-02851119v2⟩



Les métriques sont temporairement indisponibles