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Oscillator clustering in a resource distribution chain

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Oscillator clustering in a resource distribution chain. / Postnov, Dmitry E; Sosnovtseva, Olga; Mosekilde, Erik.

I: Chaos, Bind 15, Nr. 1, 01.03.2005, s. 13704.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Postnov, DE, Sosnovtseva, O & Mosekilde, E 2005, 'Oscillator clustering in a resource distribution chain', Chaos, bind 15, nr. 1, s. 13704. https://doi.org/10.1063/1.1852151

APA

Postnov, D. E., Sosnovtseva, O., & Mosekilde, E. (2005). Oscillator clustering in a resource distribution chain. Chaos, 15(1), 13704. https://doi.org/10.1063/1.1852151

Vancouver

Postnov DE, Sosnovtseva O, Mosekilde E. Oscillator clustering in a resource distribution chain. Chaos. 2005 mar 1;15(1):13704. https://doi.org/10.1063/1.1852151

Author

Postnov, Dmitry E ; Sosnovtseva, Olga ; Mosekilde, Erik. / Oscillator clustering in a resource distribution chain. I: Chaos. 2005 ; Bind 15, Nr. 1. s. 13704.

Bibtex

@article{141d0d6994df4c56866fc653a1f4a934,
title = "Oscillator clustering in a resource distribution chain",
abstract = "The paper investigates the special clustering phenomena that one can observe in systems of nonlinear oscillators that are coupled via a shared flow of primary resources (or a common power supply). This type of coupling, which appears to be quite frequent in nature, implies that one can no longer separate the inherent dynamics of the individual oscillator from the properties of the coupling network. Illustrated by examples from microbiological population dynamics, renal physiology, and electronic oscillator theory, we show how competition for primary resources in a resource distribution chain leads to a number of new generic phenomena, including partial synchronization, sliding of the synchronization region with the resource supply, and coupling-induced inhomogeneity.",
keywords = "Arterioles, Cluster Analysis, Electronics, Humans, Kidney, Models, Anatomic, Models, Statistical, Models, Theoretical, Nephrons, Nonlinear Dynamics, Oscillometry, Physics, Time Factors",
author = "Postnov, {Dmitry E} and Olga Sosnovtseva and Erik Mosekilde",
year = "2005",
month = "3",
day = "1",
doi = "10.1063/1.1852151",
language = "English",
volume = "15",
pages = "13704",
journal = "Chaos",
issn = "1054-1500",
publisher = "American Institute of Physics",
number = "1",

}

RIS

TY - JOUR

T1 - Oscillator clustering in a resource distribution chain

AU - Postnov, Dmitry E

AU - Sosnovtseva, Olga

AU - Mosekilde, Erik

PY - 2005/3/1

Y1 - 2005/3/1

N2 - The paper investigates the special clustering phenomena that one can observe in systems of nonlinear oscillators that are coupled via a shared flow of primary resources (or a common power supply). This type of coupling, which appears to be quite frequent in nature, implies that one can no longer separate the inherent dynamics of the individual oscillator from the properties of the coupling network. Illustrated by examples from microbiological population dynamics, renal physiology, and electronic oscillator theory, we show how competition for primary resources in a resource distribution chain leads to a number of new generic phenomena, including partial synchronization, sliding of the synchronization region with the resource supply, and coupling-induced inhomogeneity.

AB - The paper investigates the special clustering phenomena that one can observe in systems of nonlinear oscillators that are coupled via a shared flow of primary resources (or a common power supply). This type of coupling, which appears to be quite frequent in nature, implies that one can no longer separate the inherent dynamics of the individual oscillator from the properties of the coupling network. Illustrated by examples from microbiological population dynamics, renal physiology, and electronic oscillator theory, we show how competition for primary resources in a resource distribution chain leads to a number of new generic phenomena, including partial synchronization, sliding of the synchronization region with the resource supply, and coupling-induced inhomogeneity.

KW - Arterioles

KW - Cluster Analysis

KW - Electronics

KW - Humans

KW - Kidney

KW - Models, Anatomic

KW - Models, Statistical

KW - Models, Theoretical

KW - Nephrons

KW - Nonlinear Dynamics

KW - Oscillometry

KW - Physics

KW - Time Factors

U2 - 10.1063/1.1852151

DO - 10.1063/1.1852151

M3 - Journal article

C2 - 15836272

VL - 15

SP - 13704

JO - Chaos

JF - Chaos

SN - 1054-1500

IS - 1

ER -

ID: 33812756