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Attractor Control Using Machine Learning
Thomas Duriez, Vladimir Parezanovic, Bernd R. Noack +3
We propose a general strategy for feedback control design of complex dynamical systems exploiting the nonlinear mechanisms in a systematic unsupervised manner. These dynamical syst…
On the need for a nonlinear subscale turbulence term in POD models as exemplified for a high Reynolds number flow over an Ahmed body
Jan Östh, Bernd R. Noack, Siniša Krajnović +2
We investigate a hierarchy of eddy-viscosity terms in POD Galerkin models to account for a large fraction of unresolved fluctuation energy. These Galerkin methods are applied to La…
On long-term boundedness of Galerkin models
Michael Schlegel, Bernd R. Noack
We investigate linear-quadratic dynamical systems with energy preserving quadratic terms. These systems arise for instance as Galerkin systems of incompressible flows. A criterion…
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…