67 citations · 108 across the 4 of their papers we have counts for
3 papers · 1 filter
Reinforcement-learning-based actuator selection method for active flow control
Romain Paris, Samir Beneddine, Julien Dandois
This paper addresses the issue of actuator selection for active flow control by proposing a novel method built on top of a reinforcement learning agent. Starting from a pre-trained…
Transition scenario in hypersonic axisymmetrical compression ramp flow
Mathieu Lugrin, Samir Beneddine, Colin Leclercq +2
A high-fidelity simulation of the shock/transitional boundary layer interaction caused by a 15-degrees axisymmetrical compression ramp is performed at a freestream Mach number of 5…
Robust flow control and optimal sensor placement using deep reinforcement learning
Romain Paris, Samir Beneddine, Julien Dandois
This paper focuses on a drag-reducing control strategy on a 2D-simulated laminar flow past a cylinder. Deep reinforcement learning algorithms have been implemented to discover effi…