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Machine learning strategies applied to the control of a fluidic pinball

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https://hal-univ-orleans.archives-ouvertes.fr/hal-03371787
Contributor : Cédric Raibaudo Connect in order to contact the contributor
Submitted on : Friday, October 8, 2021 - 10:29:50 PM
Last modification on : Wednesday, March 16, 2022 - 3:54:02 AM

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

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