%0 Journal Article %T Machine learning strategies applied to the control of a fluidic pinball %+ University of Calgary %+ Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur (LIMSI) %A Raibaudo, C. %A Zhong, P. %A Noack, B. %A Martinuzzi, R. %< avec comité de lecture %@ 1070-6631 %J Physics of Fluids %I American Institute of Physics %V 32 %N 1 %P 015108 %8 2020-01-01 %D 2020 %R 10.1063/1.5127202 %Z Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph] %Z Statistics [stat]/Machine Learning [stat.ML] %Z Mathematics [math]/Optimization and Control [math.OC]Journal articles %G English %L hal-03371787 %U https://univ-orleans.hal.science/hal-03371787 %~ CNRS %~ UNIV-ORLEANS %~ INSMI %~ LIMSI %~ TDS-MACS %~ UNIV-PARIS-SACLAY %~ TEST-HALCNRS %~ UNIVERSITE-PARIS-SACLAY %~ LISN %~ GS-ENGINEERING %~ GS-COMPUTER-SCIENCE