Introduction to Focus Issue: Nonautonomous dynamical systems: Theory, methods, and applications

This Focus Issue forms one part (NDS-G) of the Double Focus Issue on nonautonomous dynamical systems in the sciences that was published together with a second Focus Issue on nonautonomous dynamical systems in climate (NDS-C). Nonlinear dynamics has achieved a pre-eminent status in the mathematical, physical, and life sciences over the last couple of decades. A very significant recent direction is dealing with the role of time dependence in the forcing and parameters of the models under study. Paramount examples concern the role of anthropogenic effects on climate and biodiversity as well as machine learning and biomedical problems. The mathematical theory of such effects is developing rapidly via the study of nonautonomous and random dynamical systems. Applications are blossoming and have in return been driving further developments of the theory, as we discuss in this Focus Issue.

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Publication Details

Journal
Chaos An Interdisciplinary Journal of Nonlinear Science
Published
2026-04-01
DOI
https://doi.org/10.1063/5.0324359
Citations
1
Primary Topic
Ecosystem dynamics and resilience
Type
article
Field-Weighted Citation Impact
23.07

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article

Introduction to Focus Issue: Nonautonomous dynamical systems: Theory, methods, and applications

Klaus Lehnertz, M Ghil, Ulrike Feudel, Juan‐Pablo Ortega et al.
1 citations
Chaos An Interdisciplinary Journal of Nonlinear Science
Ecosystem dynamics and resilience
23.07
article

Introduction to Focus Issue: Nonautonomous dynamical systems: Theory, methods, and applications

Klaus Lehnertz, M Ghil, Ulrike Feudel, Juan‐Pablo Ortega, Peter Ashwin, Martin Rasmussen
article en
1 citations

Abstract

This Focus Issue forms one part (NDS-G) of the Double Focus Issue on nonautonomous dynamical systems in the sciences that was published together with a second Focus Issue on nonautonomous dynamical systems in climate (NDS-C). Nonlinear dynamics has achieved a pre-eminent status in the mathematical, physical, and life sciences over the last couple of decades. A very significant recent direction is dealing with the role of time dependence in the forcing and parameters of the models under study. Paramount examples concern the role of anthropogenic effects on climate and biodiversity as well as machine learning and biomedical problems. The mathematical theory of such effects is developing rapidly via the study of nonautonomous and random dynamical systems. Applications are blossoming and have in return been driving further developments of the theory, as we discuss in this Focus Issue.

Chaos An Interdisciplinary Journal of Nonlinear ScienceVol. 36(4)
Centre National de la Recherche Scientifique (FR), Carl von Ossietzky Universität Oldenburg (DE), University of Bonn (DE), University of California, Los Angeles (US), Nanyang Technological University (SG), University of Exeter (GB), Université Paris Sciences et Lettres (FR), University Hospital Bonn (DE), École Normale Supérieure - PSL (FR), Laboratoire de Météorologie Dynamique (FR), NIHR Imperial Biomedical Research Centre (GB), Imperial College London (GB)
HORIZON EUROPE Framework Programme
Climate action
Openalex Percentile: Top 1%
Ecosystem dynamics and resilience
23.07
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