Autoencoding for the "Good Dictionary" of eigenpairs of the Koopman operator

Autoencoding for the "Good Dictionary" of eigenpairs of the Koopman operator

Reduced order modelling relies on representing complex dynamical systems using simplified modes, which can be achieved through the Koopman operator(KO) analysis. However, computing Koopman eigenpairs for high-dimensional observable data can be inefficient. This paper proposes using deep autoencoders...

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Bibliographic Details
Main Authors: Neranjaka Jayarathne, Erik M. Bollt
Format: Article
Language:English
Published: AIMS Press 2024-01-01
Series:AIMS Mathematics
Subjects:
deep learning
autoencoders
data driven science
reduced order modelling
koopman analysis
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2024050?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/math.2024050?viewType=HTML

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