Machine learning strategies applied to the control of a fluidic pinball

C. Raibaudo (1) , P. Zhong (1) , B. Noack (2) , R. Martinuzzi (1)

1 Schulich School of Engineering, The University of Calgary, Calgary, AB T2N 1N4, Canada
2 LIMSI - Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur

Domains: Fluids mechanics [physics.class-ph]; Machine Learning [stat.ML]; Optimization and Control [math.OC]

C. Raibaudo, P. Zhong, B. Noack, R. Martinuzzi. Machine learning strategies applied to the control of a fluidic pinball. Physics of Fluids, 2020, 32 (1), pp.015108. ⟨10.1063/1.5127202⟩. ⟨hal-03371787⟩