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  Controlling chimera and solitary states by additive noise in networks of chaotic maps

Rybalova, E., Schöll, E., Strelkova, G. (2023): Controlling chimera and solitary states by additive noise in networks of chaotic maps. - Journal of Difference Equations and Applications, 29, 9-12, 909-930.
https://doi.org/10.1080/10236198.2022.2118580

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Datensatz-Permalink: https://publications.pik-potsdam.de/pubman/item/item_29142 Versions-Permalink: https://publications.pik-potsdam.de/pubman/item/item_29142_2
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 Urheber:
Rybalova, Elena1, Autor
Schöll, Eckehard2, Autor              
Strelkova, Galina1, Autor
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Zusammenfassung: We study numerically the spatio-temporal dynamics of ring networks of coupled discrete-time systems in the presence of additive noise. The robustness of chimera states with respect to noise perturbations is explored for two ensembles in which the individual elements are described by either logistic maps or Henon maps in the chaotic regime. The influence of noise on the behavior of solitary states is investigated for a ring of nonlocally coupled Lozi maps. Numerical simulations are performed for a set of different noise realizations and random initial conditions to provide reliable statistical data. The type of dynamics of the considered networks is quantified by using a cross-correlation coefficient. We find that there is a finite and sufficiently wide region with respect to the coupling strength and the noise intensity where the probability of observing the chimeras and solitary states is high.

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Sprache(n): eng - Englisch
 Datum: 2022-09-122023-09-01
 Publikationsstatus: Final veröffentlicht
 Seiten: 22
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1080/10236198.2022.2118580
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
Model / method: Quantitative Methods
 Art des Abschluß: -

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Titel: Journal of Difference Equations and Applications
Genre der Quelle: Zeitschrift, SCI, Scopus
 Urheber:
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 29 (9-12) Artikelnummer: - Start- / Endseite: 909 - 930 Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1563-5120
Publisher: Taylor & Francis