3 citations · 6 across the 3 of their papers we have counts for
3 papers
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…
Control of Two-way Coupled Fluid Systems with Differentiable Solvers
Brener Ramos, Felix Trost, Nils Thuerey
We investigate the use of deep neural networks to control complex nonlinear dynamical systems, specifically the movement of a rigid body immersed in a fluid. We solve the Navier St…
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…