Marek Morzyński
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View article: Gradient-based machine learning control for the stabilization of the fluidic pinball and the open cavity experiment
Gradient-based machine learning control for the stabilization of the fluidic pinball and the open cavity experiment Open
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View article: Cluster-based hierarchical network model of the fluidic pinball – cartographing transient and post-transient, multi-frequency, multi-attractor behaviour
Cluster-based hierarchical network model of the fluidic pinball – cartographing transient and post-transient, multi-frequency, multi-attractor behaviour Open
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 two-dimensional incompressible flow of the fluidic pinball.…
View article: Explorative gradient method for active drag reduction of the fluidic pinball and slanted Ahmed body
Explorative gradient method for active drag reduction of the fluidic pinball and slanted Ahmed body Open
We address a challenge of active flow control: the optimization of many actuation parameters guaranteeing fast convergence and avoiding suboptimal local minima. This challenge is addressed by a new optimizer, called the explorative gradien…
View article: Cluster-based hierarchical network model of the fluidic pinball -- Cartographing transient and post-transient, multi-frequency, multi-attractor behaviour
Cluster-based hierarchical network model of the fluidic pinball -- Cartographing transient and post-transient, multi-frequency, multi-attractor behaviour Open
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 two-dimensional incompressible flow of the unforced fluidic…
View article: Dynamiques transitoires de sillage dans le pinball fluidique
Dynamiques transitoires de sillage dans le pinball fluidique Open
In this work, we are interested in the transient dynamics of a fluid configuration consisting of three fixed cylinders whose axes distribute over an equilateral triangle in transverse flow << fluidic pinball >>. As the Reynolds number is i…
View article: Stabilization of the fluidic pinball with gradient-enriched machine learning control
Stabilization of the fluidic pinball with gradient-enriched machine learning control Open
We stabilize the flow past a cluster of three rotating cylinders, the fluidic pinball, with automated gradient-enriched machine learning algorithms. The control laws command the rotation speed of each cylinder in an open- and closed-loop m…
View article: Galerkin force model for transient dynamics of the fluidic pinball
Galerkin force model for transient dynamics of the fluidic pinball Open
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 distance to each other. The starting point is a Galerkin model o…
View article: Towards human-interpretable, automated learning of feedback control for the mixing layer
Towards human-interpretable, automated learning of feedback control for the mixing layer Open
We propose an automated analysis of the flow control behaviour from an ensemble of control laws and associated time-resolved flow snapshots. The input may be the rich data base of machine learning control (MLC) optimizing a feedback law fo…
View article: Artificial intelligence control applied to drag reduction of the fluidic pinball
Artificial intelligence control applied to drag reduction of the fluidic pinball Open
The aim of our work is to advance a self‐learning, model‐free control method to tame complex nonlinear flows—building on the pioneering work of Dracopoulous [1]. The cornerstone is the formulation of the control problem as a function optim…
View article: Explorative gradient method for active drag reduction of the fluidic pinball and slanted Ahmed body
Explorative gradient method for active drag reduction of the fluidic pinball and slanted Ahmed body Open
We address a challenge of active flow control: the optimization of many actuation parameters guaranteeing fast convergence and avoiding suboptimal local minima. This challenge is addressed by a new optimizer, called explorative gradient me…