skip to content
 

Influence of noise and time delay on the collective behavior of self-propelled particles system

Presented by: 
Yongzheng Sun Fudan University
Date: 
Tuesday 9th February 2016 - 15:00 to 16:00
Venue: 
INI Seminar Room 1
Abstract: 
Collective animal behaviour is often modelled by individual-based models which assume that each individual alters its behaviour according to signals in its neighborhoods. Basic self-propelled particle models can successfully explain some experimentally observed group-level properties, but additional conjectures have to be hypothesized at the individual-level to fully explain experimental data .  In this talk, we will discuss the influence of time delay and noise on the collective  behavior of self-propelled particles system. Firstly, we consider the directional switching of a self-driven particle model with constant, time-varying and random delay times, respectively. The presented analytical and numerical results have demonstrated that time delay can facilitate coherence in self-driven interacting particle systems. Then we discuss the effect of noise on the convergence speed of a stochastic  Cucker-Smale system. We show that noise can accelerate the emergence of flocking.  
The video for this talk should appear here if JavaScript is enabled.
If it doesn't, something may have gone wrong with our embedded player.
We'll get it fixed as soon as possible.
University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons