296 citations · 579 across the 19 of their papers we have counts for
4 papers · 1 filter
Neural networks in feedback for flow analysis, sensor placement and control
Tarcísio Déda, William Wolf, Scott Dawson
This work presents a novel methodology for analysis and control of nonlinear fluid systems using neural networks. The approach is demonstrated on four different study cases being t…
-Variational autoencoders and transformers for reduced-order modelling of fluid flows
Alberto Solera-Rico, Carlos Sanmiguel Vila, M. A. Gómez +4
Variational autoencoder (VAE) architectures have the potential to develop reduced-order models (ROMs) for chaotic fluid flows. We propose a method for learning compact and near-ort…
Galerkin spectral estimation of vortex-dominated wake flows
Katherine J. Asztalos, Abdulrahman Almashjary, Scott T. M. Dawson
We propose a technique for performing spectral (in time) analysis of spatially-resolved flowfield data, without needing any temporal resolution or information. This is achieved by…
From resolvent to Gramians: extracting forcing and response modes for control
Benjamin Herrmann, Peter J. Baddoo, Scott T. M. Dawson +3
During the last decade, forcing and response modes produced by resolvent analysis have demonstrated great potential to guide sensor and actuator placement and design in flow contro…