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Randomly Distributed Delayed Communication and Coherent Swarm Patterns.

Brandon Lindley1, Luis Mier-Y-Teran-Romero, Ira B Schwartz

  • 1NRC postodctoral fellow at the US Naval Research Labooratory, Code 6792, Washington, DC 20375 USA.

IEEE International Conference on Robotics and Automation : ICRA : [Proceedings]. IEEE International Conference on Robotics and Automation
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Summary
This summary is machine-generated.

Random delays in communication between self-propelled agents create new spatio-temporal patterns. Increased delay variability impacts pattern stability and switching between coherent states.

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Area of Science:

  • Complex systems
  • Nonlinear dynamics
  • Agent-based modeling

Background:

  • Globally coupled self-propelled agents exhibit spatio-temporal patterns with fixed communication delays.
  • Understanding the impact of variable delays is crucial for predicting system behavior.

Purpose of the Study:

  • To investigate the effects of discrete, randomly distributed time delays on the dynamical patterns of self-propelled agents.
  • To analyze how the standard deviation of delay distribution influences pattern stability and state switching.

Main Methods:

  • Agent-based simulations of globally coupled self-propelled agents.
  • Analysis of spatio-temporal pattern formation under varying delay distributions.
  • Quantification of pattern stability and switching probabilities.

Main Results:

  • Discrete, random delays introduce novel dynamical patterns not observed with fixed delays.
  • The standard deviation of the time delay distribution significantly affects the stability of emergent patterns.
  • Increased delay variability enhances the probability of switching between different coherent states.

Conclusions:

  • Randomly distributed communication delays introduce significant complexity in self-propelled agent systems.
  • Delay variability is a critical parameter controlling pattern stability and system dynamics.
  • Findings have implications for understanding collective behavior in systems with noisy or asynchronous communication.