67 citations · 108 across the 4 of their papers we have counts for
4 papers
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…
Nonlinear input feature reduction for data-based physical modeling
Samir Beneddine
This work introduces a novel methodology to derive physical scalings for input features from data. The approach developed in this article relies on the maximization of mutual infor…
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…