Speakers
Mr
Christophe Prieur
(Gipsa-Lab / CNRS)Mr
Dimitri Peaucelle
(LAAS-CNRS)
Description
In this talk, we will show how machine learning and automatic control are mutually enriched.
To do so, we will review some of the classical questions in automatic control and we show how the usual control techniques can be improved using scientific computation and AI.
Big-data data alone is not sufficient, but it can help. Some examples in fluid dynamics and in navigation will be given.
Vice-versa, we will show how automatic control paradigms should be fruitful to solve some open issues in AI.
