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

Engineering complex dynamical structures: sequential patterns and desynchronization.

István Z Kiss1, Craig G Rusin, Hiroshi Kori

  • 1Department of Chemical Engineering, 102 Engineers' Way, University of Virginia, Charlottesville, VA 22904-4741, USA.

Science (New York, N.Y.)
|May 26, 2007
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

A native sulfur deposit in Gale crater, Mars.

Science (New York, N.Y.)·2026
Same journal

Coordinated demise of harmful algal blooms.

Science (New York, N.Y.)·2026
Same journal

Genetic effects put into context.

Science (New York, N.Y.)·2026
Same journal

Bacteria share proteins to survive antibiotics.

Science (New York, N.Y.)·2026
Same journal

Impacts shaped Earth's first continents.

Science (New York, N.Y.)·2026
Same journal

Erratum for the Report "Covalently bonded single-molecule junctions with stable and reversible photoswitched conductivity" by C. Jia <i>et al</i>.

Science (New York, N.Y.)·2026
See all related articles

Researchers used phase models and mild feedback signals to control complex dynamic systems. This approach successfully tuned electrochemical reactions and can be applied to biological patterns and disrupting pathological synchronization.

Area of Science:

  • Complex Systems Dynamics
  • Nonlinear Dynamics
  • Systems Engineering

Background:

  • Complex dynamic structures often exhibit nonlinear rhythmic behaviors.
  • Controlling these systems to specific states can be challenging.
  • Understanding and manipulating interactions within these systems is crucial for various applications.

Purpose of the Study:

  • To develop and demonstrate a method for tuning complex dynamic structures to desired states using phase models.
  • To showcase the efficacy of weak, nondestructive feedback signals in altering system dynamics.
  • To explore applications in biological pattern generation and the disruption of pathological synchronization.

Main Methods:

  • Utilized phase models to describe and manipulate the dynamics of nonlinear rhythmic elements.

Related Experiment Videos

  • Employed weak, nondestructive feedback signals to alter interactions.
  • Conducted experiments on electrochemical reactions using electrode arrays.
  • Applied the developed model-engineered feedback to specific pattern generation and synchronization disruption tasks.

    • Main Results:

    • Successfully demonstrated the ability to tune complex dynamic structures to desired states.
    • Validated the effectiveness of mild, model-engineered feedback in achieving specific responses.
    • Generated sequentially visited dynamic cluster patterns analogous to biological sequences.
    • Designed a nonlinear antipacemaker capable of disrupting pathological synchronization in interacting oscillators.

    Conclusions:

    • Phase models coupled with mild feedback offer a powerful approach for controlling complex dynamic systems.
    • This method has potential applications in mimicking biological systems and treating pathological synchronization.
    • The findings highlight the utility of nondestructive control strategies in nonlinear dynamics.