91 citations · 210 across the 9 of their papers we have counts for
9 papers
Cluster-based hierarchical network model of the fluidic pinball -- Cartographing transient and post-transient, multi-frequency, multi-attractor behaviour
Nan Deng, Bernd R. Noack, Marek Morzyński +1
We propose a self-supervised cluster-based hierarchical reduced-order modelling methodology to model and analyse the complex dynamics arising from a sequence of bifurcations for a…
Route to Chaos in the Fluidic Pinball
Nan Deng, Luc R. Pastur, Marek Morzyński +1
The fluidic pinball has been recently proposed as an attractive and effective flow configuration for exploring machine learning fluid flow control. In this contribution, we focus o…
Low-dimensional Flow Models from high-dimensional Flow data with Machine Learning and First Principles
Nan Deng, Luc R. Pastur, Bernd R. Noack
Reduced-order modelling and system identification can help us figure out the elementary degrees of freedom and the underlying mechanisms from the high-dimensional and nonlinear dyn…
Reduced-order modeling of the fluidic pinball
Luc R. Pastur, Nan Deng, Marek Morzyński +1
The fluidic pinball is a geometrically simple flow configuration with three rotating cylinders on the vertex of an equilateral triangle. Yet, it remains physically rich enough to h…
Galerkin force model for transient and post-transient dynamics of the fluidic pinbal
Nan Deng, Bernd R. Noack, Marek Morzyński +1
We propose an aerodynamic force model associated with a Galerkin model for the unforced fluidic pinball, the two-dimensional flow around three equal cylinders with one radius dista…
Low-order model for successive bifurcations of the fluidic pinball
Nan Deng, Bernd R. Noack, Marek Morzynski +1
We propose the first least-order Galerkin model of an incompressible flow undergoing two successive supercritical bifurcations of Hopf and pitchfork type. A key enabler is a mean-f…