Estimating covariant lyapunov vectors from data

Martin, Christoph; Sharafi, Nahal; Hallerberg, Sarah

doi:10.1063/5.0078112

Publisher DOI:	10.1063/5.0078112 10.48550/arXiv.2107.08925
Title:	Estimating covariant lyapunov vectors from data
Language:	English
Authors:	Martin, Christoph Sharafi, Nahal Hallerberg, Sarah
Keywords:	Non linear dynamics; Lyapunov exponent; Nonlinear systems; Dynamical systems; Lorenz system; Chaotic systems; Machine learning; Time series analysis
Issue Date:	4-Mar-2022
Publisher:	American Institute of Physics
Journal or Series Name:	Chaos: An Interdisciplinary Journal of Nonlinear Science
Volume:	32
Issue:	3
Project:	Dynamik und adaptiver Dekomposition lernender Netzwerke Lernbasierte Datenanalyse - Stochastik, Optimierung, Dynamik und Approximation
URI:	http://hdl.handle.net/20.500.12738/12944
ISSN:	1089-7682
Review status:	This version was peer reviewed (peer review)
Institute:	Fakultät Technik und Informatik Department Maschinenbau und Produktion
Type:	Article
Additional note:	paper number: 033105. Preprint: 10.48550/arXiv.2107.08925 (2021). Verlagsversion: 10.1063/5.0078112 (2022).
Funded by:	Bundesministerium für Bildung und Forschung Hamburg
Appears in Collections:	Publications without full text