title: Coherent Pattern Prediction in Swarms of Delay-Coupled Agents.
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.
authors.affiliation: Johns Hopkins Bloomberg School of Public Health, Baltimore,MD21205 USA, and also with the Nonlinear Systems Dynamics Section, Plasma Physics Division, Code 6792, U.S. Naval Research Laboratory, Washington, DC 20375 USA ( luis@nlschaos.nrl.navy.mil ).
authors.forename: Luis
authors.initials: L
authors.lastname: Mier-Y-Teran-Romero
authors.forename: Eric
authors.initials: E
authors.lastname: Forgoston
authors.forename: Ira B
authors.initials: IB
authors.lastname: Schwartz
keywords: Autonomous agents; bifurcation; delay systems; nonlinear dynamical systems; pattern formation.