Stochastic model and synchronization analysis for large-scale oscillator networks and their applications

Research output: Contribution to journalArticle

Abstract

Networks of coupled large-scale oscillators have been studied in biology for a number of years. It has been recognized that transients in the nearest neighbour connected networks may take far too long to die out. It is considered that a few long-distance interconnections exist. Typically, these long-distance interconnections are considered to occur in a random way. In this paper, the synchronization problem for coupled oscillator networks is discussed. Then, the stochastic distribution model for the random long-distance connections is proposed and the validity is demonstrated by simulation. Furthermore, the proposed oscillator network is applied to the visual model of a dragonfly.

Original languageEnglish
Pages (from-to)711-720
Number of pages10
JournalProceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering
Volume222
Issue number7
DOIs
Publication statusPublished - 2008

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Stochastic models
Synchronization

Keywords

  • Oscillator network
  • Stochastic model
  • Synchronization
  • Visual model of dragonfly

ASJC Scopus subject areas

  • Mechanical Engineering
  • Control and Systems Engineering

Cite this

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abstract = "Networks of coupled large-scale oscillators have been studied in biology for a number of years. It has been recognized that transients in the nearest neighbour connected networks may take far too long to die out. It is considered that a few long-distance interconnections exist. Typically, these long-distance interconnections are considered to occur in a random way. In this paper, the synchronization problem for coupled oscillator networks is discussed. Then, the stochastic distribution model for the random long-distance connections is proposed and the validity is demonstrated by simulation. Furthermore, the proposed oscillator network is applied to the visual model of a dragonfly.",
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