4.8k citations · 20.2k across the 183 of their papers we have counts for
Showing 2014 · physics.flu-dynShow all
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physics.flu-dyn2014★ 3 cited
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…
physics.flu-dyn2014★ 84 cited
State-space model identification and feedback control of unsteady aerodynamic forces
Steven L. Brunton, Scott T. M. Dawson, Clarence W. Rowley
Unsteady aerodynamic models are necessary to accurately simulate forces and develop feedback controllers for wings in agile motion; however, these models are often high dimensional…