295 citations · 968 across the 13 of their papers we have counts for
6 papers · 1 filter
Closed-loop separation control over a sharp edge ramp using Genetic Programming
Antoine Debien, Kai A. A. F. von Krbek, Nicolas Mazellier +5
We experimentally perform open and closed-loop control of a separating turbulent boundary layer downstream from a sharp edge ramp. The turbulent boundary layer just above the separ…
Feedback Control of Turbulent Shear Flows by Genetic Programming
Thomas Duriez, Vladimir Parezanović, Kai von Krbek +14
Turbulent shear flows have triggered fundamental research in nonlinear dynamics, like transition scenarios, pattern formation and dynamical modeling. In particular, the control of…
Closed-loop control of an experimental mixing layer using machine learning control
Vladimir Parezanović, Thomas Duriez, Laurent Cordier +6
A novel framework for closed-loop control of turbulent flows is tested in an experimental mixing layer flow. This framework, called Machine Learning Control (MLC), provides a model…
Closed-loop separation control using machine learning
Nicolas Gautier, Thomas Duriez, Jean-Luc Aider +3
A novel, model free, approach to experimental closed-loop flow control is implemented on a separated flow. Feedback control laws are generated using genetic programming where they…
Closed-Loop Turbulence Control Using Machine Learning
Thomas Duriez, Vladimir Parezanović, Laurent Cordier +5
We propose a general model-free strategy for feedback control design of turbulent flows. This strategy called 'machine learning control' (MLC) is capable of exploiting nonlinear me…
Cluster-based reduced-order modelling of a mixing layer
Eurika Kaiser, Bernd R. Noack, Laurent Cordier +7
We propose a novel cluster-based reduced-order modelling (CROM) strategy of unsteady flows. CROM combines the cluster analysis pioneered in Gunzburger's group (Burkardt et al. 2006…