Deep reinforcement learning (DRL) has been applied to a variety of problems during the
past decade and has provided effective control strategies in high-dimensional and non …

This review article is concerned with the design of linear reduced-order models and control
laws for closed-loop control of instabilities in transitional flows. For oscillator flows, such as …

In this study, a CFD-based linear dynamics model combined with the direct Computational
Fluid Dynamics/Computational Structural Dynamics (CFD/CSD) simulation method is …

We present the first closed-loop separation control experiment using a novel, model-free
strategy based on genetic programming, which we call 'machine learning control'. The goal …

The impact of fluidic actuation on the wake and drag of a three-dimensional blunt body is
investigated experimentally. Jets blowing tangentially to the main flow force the wake with …

A specific feature of three-dimensional bluff body wakes, flow bistability, is a subject of
particular recent interest. This feature consists of a random flipping of the wake between two …

We investigate open-and closed-loop active control for aerodynamic drag reduction of a car
model. Turbulent flow around a blunt-edged Ahmed body is examined at Re_ H ≈ 3 * 10^ 5 …

The present work considers the low-Reynolds-number wake flow behind a squareback
Ahmed body, in close proximity to a ground. At low Reynolds numbers such wakes are …

The bi-modal behaviour of the turbulent flow past three-dimensional blunt bluff bodies is
simulated using wall-resolved large eddy simulations. Bi-modality (also called bi-stability) is …

Active flow control for drag reduction with reinforcement learning (RL) is performed in the
wake of a two-dimensional square bluff body at laminar regimes with vortex shedding …