Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Synchronization engineering: theoretical framework and application to dynamical clustering.

Hiroshi Kori1, Craig G Rusin, István Z Kiss

  • 1Department of Mathematics, Hokkaido University, Sapporo, Hokkaido 060-0810, Japan. kori.hiroshi@ocha.ac.jp

Chaos (Woodbury, N.Y.)
|July 8, 2008
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Hypernetworks induce stable hyperlocking.

Nature communications·2026
Same author

Control of Oscillator Networks with Mean-Field Measurement: A Hybrid Open/Closed-Loop Approach.

IEEE transactions on control systems technology : a publication of the IEEE Control Systems Society·2026
Same author

Unveiling individual and collective temporal patterns in the tanker shipping network.

Nature communications·2026
Same author

A computational approach for intramural length estimation in anomalous aortic origin of a coronary artery.

Frontiers in cardiovascular medicine·2026
Same author

NIPS: Network Inference with Partial State measurements using forced-delay embedding.

PNAS nexus·2026
Same author

Developing a Multivariable Prediction Model to Identify a High-Volume Patent Ductus Arteriosus in Neonates Born Extremely Preterm.

The Journal of pediatrics·2025
Same journal

Topological dependence of viral mutation spread in complex host-interaction networks.

Chaos (Woodbury, N.Y.)·2026
Same journal

Multifractal signatures of Hamiltonian chaos in Hyperion's rotational dynamics.

Chaos (Woodbury, N.Y.)·2026
Same journal

Exploring mechanisms for reversal of flow in tunicate hearts.

Chaos (Woodbury, N.Y.)·2026
Same journal

State estimation in spatiotemporal chaos via low-rank StatFEM.

Chaos (Woodbury, N.Y.)·2026
Same journal

Universal response functions in driven dissipative tunneling dynamics.

Chaos (Woodbury, N.Y.)·2026
Same journal

A network-based approach to characterize the dynamics of the coupling field of thermoacoustic oscillators in annular geometry.

Chaos (Woodbury, N.Y.)·2026
See all related articles

This study introduces a novel method for controlling rhythmic systems using phase models and delayed feedback. This synchronization engineering approach allows for precise tuning of system behavior and cluster formation.

Area of Science:

  • Complex Systems
  • Nonlinear Dynamics
  • Synchronization Phenomena

Background:

  • Populations of rhythmic elements often exhibit complex collective behaviors.
  • Controlling and engineering these behaviors, particularly synchronization patterns, remains a significant challenge in various scientific disciplines.

Purpose of the Study:

  • To present a novel framework for engineering the global behavior of rhythmic element populations.
  • To demonstrate the application of this framework in controlling synchronization patterns and creating specific dynamical states.

Main Methods:

  • Development of a method based on phase models for constructing nonlinear time-delayed global feedback signals.
  • Utilizing polynomial, delayed feedback as a versatile tool to tune synchronization patterns.

Related Experiment Videos

  • Theoretical analysis and numerical simulations to validate the proposed method.

    • Main Results:

    • A flexible framework for synchronization engineering was established.
    • Polynomial, delayed feedback was confirmed as an effective tool for tuning synchronization.
    • Dynamical states with one to four clusters were successfully engineered.

    Conclusions:

    • The proposed synchronization engineering method provides a powerful approach to control complex rhythmic systems.
    • The framework is applicable to experimental systems, as demonstrated in an electrochemical setting.
    • This work opens new avenues for designing and manipulating collective behaviors in diverse scientific fields.