Title :
Stochastic synchronization over a moving neighborhood network
Author :
Porfiri, Maurizio ; Stilwell, Daniel J. ; Bollt, Erik M. ; Skufca, Joseph D.
Author_Institution :
Polytech. Univ., Brooklyn
Abstract :
We examine the synchronization problem for a group of dynamic agents that communicate via a moving neighborhood network. Each agent is modeled as a random walker in a finite lattice and is equipped with an oscillator. The communication network topology changes randomly and is dictated by the agents´ locations in the lattice. Information sharing (talking) is possible only for geographically neighboring agents. The complex system is a time-varying jump nonlinear system. We introduce the concept of long-time expected communication network defined as the ergodic limit of the stochastic time-varying network. We show that if the long-time expected network supports synchronization, then so does the stochastic network when the agents diffuse sufficiently fast in the lattice.
Keywords :
large-scale systems; nonlinear systems; stochastic processes; synchronisation; telecommunication network management; telecommunication network topology; time-varying systems; communication network topology; complex system; information sharing; stochastic synchronization; stochastic time-varying network; time-varying jump nonlinear system; Aerospace control; Aerospace engineering; Cities and towns; Communication networks; Complex networks; Computer aided manufacturing; Lattices; Network topology; Oscillators; Stochastic processes; fast switching; graph; random walk; stochastic stability; synchronization;
Conference_Titel :
American Control Conference, 2007. ACC '07
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0988-8
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2007.4282732