3 papers
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-dyn2023
Neural networks in feedback for flow analysis, sensor placement and control
Tarcísio Déda, William Wolf, Scott Dawson
This work presents a novel methodology for analysis and control of nonlinear fluid systems using neural networks. The approach is demonstrated on four different study cases being t…
physics.flu-dyn2021
Extremum seeking control applied to airfoil trailing-edge noise suppression
Tarcísio Costa Déda Oliveira, William Roberto Wolf
Extremum seeking control (ESC) and its slope seeking generalization are applied in a high-fidelity flow simulation framework for reduction of acoustic noise generated by a NACA0012…