Learning nonlinear projections for reduced-order modeling of dynamical systems using constrained autoencoders

Recently developed reduced-order modeling techniques aim to approximate nonlinear dynamical systems on low-dimensional manifolds learned from data. This is an effective approach for modeling dynamics in a post-transient regime where the effects of initial conditions and other disturbances have decay...

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Bibliographic Details

Published in:	Chaos (Woodbury, N.Y.) Vol. 33; no. 11
Main Authors:	Otto, Samuel E, Macchio, Gregory R, Rowley, Clarence W
Format:	Journal Article
Language:	English
Published:	01.11.2023
ISSN:	1089-7682, 1089-7682
Online Access:	Get more information
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