Coherent pattern prediction in swarms of delay-coupled agents

Luis Mier-Y-Teran-Romero, Eric Forgoston, Ira B. Schwartz

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

We consider a general swarm model of self-propelling agents interacting through a pairwise potential in the presence of noise and communication time delay. Previous work has shown that a communication time delay in the swarm induces a pattern bifurcation that depends on the size of the coupling amplitude. We extend these results by completely unfolding the bifurcation structure of the mean field approximation. Our analysis reveals a direct correspondence between the different dynamical behaviors found in different regions of the coupling-time delay plane with the different classes of simulated coherent swarm patterns. We derive the spatiotemporal scales of the swarm structures, as well as demonstrate how the complicated interplay of coupling strength, time delay, noise intensity, and choice of initial conditions can affect the swarm. In particular, our studies show that for sufficiently large values of the coupling strength and/or the time delay, there is a noise intensity threshold that forces a transition of the swarm from a misaligned state into an aligned state. We show that this alignment transition exhibits hysteresis when the noise intensity is taken to be time dependent.

Original languageEnglish
Article number6204351
Pages (from-to)1034-1044
Number of pages11
JournalIEEE Transactions on Robotics
Volume28
Issue number5
DOIs
StatePublished - 31 May 2012

Keywords

  • Autonomous agents
  • bifurcation
  • delay systems
  • nonlinear dynamical systems
  • pattern formation

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