Skip to Main content Skip to Navigation
Conference papers

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.
Complete list of metadatas

Cited literature [73 references]  Display  Hide  Download

https://hal-polytechnique.archives-ouvertes.fr/hal-02851119
Contributor : Michel Fliess <>
Submitted on : Monday, July 6, 2020 - 7:37:54 PM
Last modification on : Thursday, July 16, 2020 - 3:47:45 AM

File

ML_MFC.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02851119, version 2
  • ARXIV : 2006.05738

Collections

Citation

Michel Fliess, Cédric Join. Machine learning and control engineering: The model-free case. Future Technologies Conference, FTC 2020, Nov 2020, Vancouver, Canada. ⟨hal-02851119v2⟩

Share

Metrics

Record views

129

Files downloads

159