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Updated: Mar 11, 2026
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Bouncing Ball with a Uniformly Varying Velocity in a Metronome Synchronization Task
Published on: September 21, 2017
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Interaction between synchronization and motion in a system of mobile agents
Arturo Buscarino1, Luigi Fortuna1, Mattia Frasca1
1Dipartimento di Ingegneria Elettrica Elettronica e Informatica, Università degli Studi di Catania, viale A. Doria 6, 95125 Catania, Italy.
Chaos (Woodbury, N.Y.)
|December 3, 2016
Summary
This study explores synchronization in Vicsek
Area of Science:
- Complex Systems
- Nonlinear Dynamics
- Statistical Physics
Background:
- Vicsek's model describes self-propelled particles exhibiting collective motion.
- Coupled chaotic systems are fundamental in understanding emergent behaviors.
- Network synchronization is crucial in various physical and biological systems.
Purpose of the Study:
- Investigate synchronization phenomena in time-varying networks using Vicsek's model.
- Analyze the influence of noise and interaction parameters on synchronization.
- Determine conditions favoring or inhibiting synchronization in self-propelled particle systems.
Main Methods:
- Simulating Vicsek's model of self-propelled particles in a 2D space.
- Coupling particle dynamics to associated chaotic systems based on proximity.
- Varying noise levels and interaction radii to observe system behavior.
Main Results:
- Synchronization is influenced by the interplay between particle motion and dynamical coupling.
- Increasing noise levels transition the system from ordered to disordered motion.
- Coordinated particle movement can either promote or hinder synchronization.
Conclusions:
- The study reveals complex synchronization dynamics in self-propelled particle networks.
- Synchronization thresholds can be estimated for fast interconnections.
- Findings offer insights into collective behavior and emergent order in dynamic systems.
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