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Data-driven prediction and control of extreme events in a chaotic flow

Data-driven prediction and control of extreme events in a chaotic flow

A. Racca
Luca Magri
ArXiv (abs)PDFHTML

Papers citing "Data-driven prediction and control of extreme events in a chaotic flow"

3 / 3 papers shown
Title
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions
Jake Buzhardt
C. Ricardo Constante-Amores
Michael D. Graham
165
2
0
20 Nov 2024
Control-aware echo state networks (Ca-ESN) for the suppression of extreme events
Control-aware echo state networks (Ca-ESN) for the suppression of extreme events
A. Racca
Luca Magri
29
3
0
06 Aug 2023
Modelling spatiotemporal turbulent dynamics with the convolutional autoencoder echo state network
Modelling spatiotemporal turbulent dynamics with the convolutional autoencoder echo state network
A. Racca
N. Doan
Luca Magri
36
4
0
21 Nov 2022