Machine learning and control engineering: The model-free case - École polytechnique Access content directly
Conference Papers Year : 2020

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.
Fichier principal
Vignette du fichier
ML_MFC.pdf (940.92 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02851119 , version 1 (07-06-2020)
hal-02851119 , version 2 (06-07-2020)

Identifiers

Cite

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⟩
614 View
515 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More