Recent achievements in nonlinear dynamics, synchronization, and networks 
[Editorial]

Ghosh, Dibakar; Marwan, Norbert; Small, Michael; Zhou, Changsong; Heitzig, Jobst; Koseska, Aneta; Ji, Peng; Kiss, Istvan Z.

doi:10.1063/5.0236801

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学術論文

Recent achievements in nonlinear dynamics, synchronization, and networks [Editorial]

Authors

Ghosh, Dibakar
External Organizations;

/persons/resource/Marwan

Marwan, Norbert
Potsdam Institute for Climate Impact Research;

Small, Michael
External Organizations;

Zhou, Changsong
External Organizations;

/persons/resource/heitzig

Heitzig, Jobst
Potsdam Institute for Climate Impact Research;

Koseska, Aneta
External Organizations;

Ji, Peng
External Organizations;

Kiss, Istvan Z.
External Organizations;

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引用

Ghosh, D., Marwan, N., Small, M., Zhou, C., Heitzig, J., Koseska, A., Ji, P., & Kiss, I. Z. (2024). Recent achievements in nonlinear dynamics, synchronization, and networks [Editorial]. Chaos, 34(10):. doi:10.1063/5.0236801.

引用: https://publications.pik-potsdam.de/pubman/item/item_31434

要旨

This Focus Issue covers recent developments in the broad areas of nonlinear dynamics, synchronization, and emergent behavior in dynamical networks. It targets current progress on issues such as time series analysis and data-driven modeling from real data such as climate, brain, and social dynamics. Predicting and detecting early warning signals of extreme climate conditions, epileptic seizures, or other catastrophic conditions are the primary tasks from real or experimental data. Exploring machine-based learning from real data for the purpose of modeling and prediction is an emerging area. Application of the evolutionary game theory in biological systems (eco-evolutionary game theory) is a developing direction for future research for the purpose of understanding the interactions between species. Recent progress of research on bifurcations, time series analysis, control, and time-delay systems is also discussed.