Determining the coupling source on a set of oscillators from experimental data

DOI10.1155/2017/8017138zbMath1367.93617OpenAlexW2611080880WikidataQ59142948 ScholiaQ59142948MaRDI QIDQ2012874

Mihir Sen, Juan Carlos Jáuregui-Correa, Carlos S. López-Cajún

Publication date: 3 August 2017

Published in: Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2017/8017138

zbMATH Keywords

synchronizationcomplex systemscorrelation coefficientsrecurrence plotcross-correlation functionsKuramoto parameter

Mathematics Subject Classification ID

Vibrations in dynamical problems in solid mechanics (74H45) Stochastic systems in control theory (general) (93E03)

Related Items (1)

Synchronization analysis of complex dynamical networks subject to \textit{delayed impulsive disturbances}

Uses Software

• K2

Cites Work

• Thermodynamic order parameters and statistical-mechanical measures for characterization of the burst and spike synchronizations of bursting neurons
• Motif-synchronization: a new method for analysis of dynamic brain networks with EEG
• Effect of noise on chaos synchronization in time-delayed systems: numerical and experimental observations
• RECURRENCE-BASED TIME SERIES ANALYSIS BY MEANS OF COMPLEX NETWORK METHODS
• Recurrence networks—a novel paradigm for nonlinear time series analysis
• Superfamily phenomena and motifs of networks induced from time series
• Stability diagram for the forced Kuramoto model

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