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Diffeomorphically Learning Stable Koopman Operators

Diffeomorphically Learning Stable Koopman Operators

8 December 2021
Petar Bevanda
Maximilian Beier
Sebastian Kerz
Armin Lederer
Stefan Sosnowski
Sandra Hirche
ArXivPDFHTML

Papers citing "Diffeomorphically Learning Stable Koopman Operators"

5 / 5 papers shown
Title
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees
Sean Jaffe
A. Davydov
Deniz Lapsekili
Ambuj K. Singh
Francesco Bullo
40
2
0
12 Feb 2024
Data-Driven Encoding: A New Numerical Method for Computation of the
  Koopman Operator
Data-Driven Encoding: A New Numerical Method for Computation of the Koopman Operator
Jerry Ng
H. Asada
43
4
0
16 Jan 2023
Learned Lifted Linearization Applied to Unstable Dynamic Systems Enabled
  by Koopman Direct Encoding
Learned Lifted Linearization Applied to Unstable Dynamic Systems Enabled by Koopman Direct Encoding
Jerry Ng
H. Asada
39
2
0
24 Oct 2022
Learning the Koopman Eigendecomposition: A Diffeomorphic Approach
Learning the Koopman Eigendecomposition: A Diffeomorphic Approach
Petar Bevanda
Johannes Kirmayr
Stefan Sosnowski
Sandra Hirche
38
9
0
15 Oct 2021
Learning Stable Koopman Embeddings
Learning Stable Koopman Embeddings
Fletcher Fan
Bowen Yi
D. Rye
Guodong Shi
I. Manchester
43
33
0
13 Oct 2021
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