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SUMMARY:Influence of noise and time delay on the collective behavior of se
 lf-propelled particles system - Yongzheng Sun (Fudan University)
DTSTART:20160209T150000Z
DTEND:20160209T160000Z
UID:TALK64690@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:<span>Collective animal behaviour is often modelled by individ
 ual-based models which assume that each individual alters its behaviour ac
 cording to signals in its neighborhoods. Basic self-propelled particle mod
 els can successfully explain some experimentally observed group-level prop
 erties\, but additional conjectures have to be hypothesized at the individ
 ual-level to fully explain experimental data . &nbsp\;In this talk\, we wi
 ll discuss the influence of time delay and noise on the collective&nbsp\; 
 behavior of self-propelled particles system. Firstly\, we consider the dir
 ectional switching of a self-driven particle model with constant\, time-va
 rying and random delay times\, respectively. The presented analytical and 
 numerical results have demonstrated that time delay can facilitate coheren
 ce in self-driven interacting particle systems. Then we discuss the effect
  of noise on the convergence speed of a stochastic &nbsp\;Cucker-Smale sys
 tem. We show that noise can accelerate the emergence of flocking<a target=
 "_blank" rel="nofollow"></a>.</span>  &nbsp\;
LOCATION:Seminar Room 1\, Newton Institute
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