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Residual Dynamic Mode Decomposition: Robust and verified Koopmanism

Residual Dynamic Mode Decomposition: Robust and verified Koopmanism

19 May 2022
Matthew J. Colbrook
Lorna J. Ayton
Máté Szőke
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Papers citing "Residual Dynamic Mode Decomposition: Robust and verified Koopmanism"

20 / 20 papers shown
Title
Limits and Powers of Koopman Learning
Limits and Powers of Koopman Learning
Matthew J. Colbrook
Igor Mezić
Alexei Stepanenko
27
10
0
08 Jul 2024
Multiplicative Dynamic Mode Decomposition
Multiplicative Dynamic Mode Decomposition
Nicolas Boullé
Matthew J. Colbrook
24
2
0
08 May 2024
Real-Time Motion Detection Using Dynamic Mode Decomposition
Real-Time Motion Detection Using Dynamic Mode Decomposition
Marco Mignacca
Simone Brugiapaglia
J. Bramburger
22
0
0
08 May 2024
Rigged Dynamic Mode Decomposition: Data-Driven Generalized Eigenfunction
  Decompositions for Koopman Operators
Rigged Dynamic Mode Decomposition: Data-Driven Generalized Eigenfunction Decompositions for Koopman Operators
Matthew J. Colbrook
Catherine Drysdale
Andrew Horning
24
5
0
01 May 2024
Koopman-Assisted Reinforcement Learning
Koopman-Assisted Reinforcement Learning
Preston Rozwood
Edward Mehrez
Ludger Paehler
Wen Sun
Steven L. Brunton
24
6
0
04 Mar 2024
PyDMD: A Python package for robust dynamic mode decomposition
PyDMD: A Python package for robust dynamic mode decomposition
Sara M. Ichinaga
Francesco Andreuzzi
N. Demo
M. Tezzele
Karl Lapo
G. Rozza
Steven L. Brunton
J. Nathan Kutz
AI4CE
28
16
0
12 Feb 2024
On the Convergence of Hermitian Dynamic Mode Decomposition
On the Convergence of Hermitian Dynamic Mode Decomposition
Nicolas Boullé
Matthew J. Colbrook
19
2
0
06 Jan 2024
Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder
Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder
Priyam Gupta
Peter J. Schmid
D. Sipp
T. Sayadi
Georgios Rigas
11
4
0
16 Oct 2023
Enhancing Predictive Capabilities in Data-Driven Dynamical Modeling with
  Automatic Differentiation: Koopman and Neural ODE Approaches
Enhancing Predictive Capabilities in Data-Driven Dynamical Modeling with Automatic Differentiation: Koopman and Neural ODE Approaches
Ricardo Constante-Amores
Alec J. Linot
Michael D. Graham
11
10
0
10 Oct 2023
Operator-Based Detecting, Learning, and Stabilizing Unstable Periodic
  Orbits of Chaotic Attractors
Operator-Based Detecting, Learning, and Stabilizing Unstable Periodic Orbits of Chaotic Attractors
A. Tavasoli
Heman Shakeri
15
0
0
07 Sep 2023
Beyond expectations: Residual Dynamic Mode Decomposition and Variance
  for Stochastic Dynamical Systems
Beyond expectations: Residual Dynamic Mode Decomposition and Variance for Stochastic Dynamical Systems
Matthew J. Colbrook
Qin Li
Ryan V. Raut
Alex Townsend
22
16
0
21 Aug 2023
Koopman operator learning using invertible neural networks
Koopman operator learning using invertible neural networks
Yuhuang Meng
Jian-Kai Huang
Yue Qiu
11
11
0
30 Jun 2023
PyKoopman: A Python Package for Data-Driven Approximation of the Koopman
  Operator
PyKoopman: A Python Package for Data-Driven Approximation of the Koopman Operator
Shaowu Pan
E. Kaiser
Brian M. de Silva
J. Nathan Kutz
Steven L. Brunton
13
8
0
22 Jun 2023
Koopman Kernel Regression
Koopman Kernel Regression
Petar Bevanda
Maximilian Beier
Armin Lederer
Stefan Sosnowski
Eyke Hüllermeier
Sandra Hirche
AI4TS
14
16
0
25 May 2023
Orthogonal polynomial approximation and Extended Dynamic Mode
  Decomposition in chaos
Orthogonal polynomial approximation and Extended Dynamic Mode Decomposition in chaos
Caroline L. Wormell
13
3
0
14 May 2023
Vehicular Applications of Koopman Operator Theory -- A Survey
Vehicular Applications of Koopman Operator Theory -- A Survey
W. Manzoor
S. Rawashdeh
Aliasgar Mohammadi
15
16
0
18 Mar 2023
Learning Bilinear Models of Actuated Koopman Generators from
  Partially-Observed Trajectories
Learning Bilinear Models of Actuated Koopman Generators from Partially-Observed Trajectories
Samuel E. Otto
Sebastian Peitz
C. Rowley
23
19
0
20 Sep 2022
The mpEDMD Algorithm for Data-Driven Computations of Measure-Preserving
  Dynamical Systems
The mpEDMD Algorithm for Data-Driven Computations of Measure-Preserving Dynamical Systems
Matthew J. Colbrook
23
34
0
06 Sep 2022
Rigorous data-driven computation of spectral properties of Koopman
  operators for dynamical systems
Rigorous data-driven computation of spectral properties of Koopman operators for dynamical systems
Matthew J. Colbrook
Alex Townsend
18
67
0
29 Nov 2021
Koopman Spectrum Nonlinear Regulators and Efficient Online Learning
Koopman Spectrum Nonlinear Regulators and Efficient Online Learning
Motoya Ohnishi
Isao Ishikawa
Kendall Lowrey
Masahiro Ikeda
Sham Kakade
Yoshinobu Kawahara
16
5
0
30 Jun 2021
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