3 citations · 6 across the 3 of their papers we have counts for
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physics.flu-dyn2025
Observer-based neural networks for flow estimation and control
Tarcísio C. Déda, William R. Wolf, Scott T. M. Dawson +1
Neural network observers (NNOs) are proposed for real-time estimation of fluid flows, addressing a key challenge in flow control: obtaining real-time flow states from a limited set…
physics.flu-dyn2019★ 3 cited
Active Flow Control for Drag Reduction of a Plunging Airfoil under Deep Dynamic Stall
Brener D'Lélis Oliveira Ramos, William Roberto Wolf, Chi-An Yeh +1
High-fidelity simulations are performed to study active flow control techniques for alleviating deep dynamic stall of a SD7003 airfoil in plunging motion. The flow Reynolds number…