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.

FTC 2020 (Future Technologies Conference 2020) -- 5-6 November 2020, Vancouver, Canada

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Cited by in corpus (2)

• First steps toward a simple but efficient model-free control synthesis for variable-speed wind turbines
• A robust but easily implementable remote control for quadrotors: Experimental acrobatic flight tests