Title :
Consensus Over Numerosity-Constrained Random Networks
Author :
Abaid, Nicole ; Porfiri, Maurizio
Author_Institution :
Dept. of Mech. & Aerosp. Eng., Polytech. Inst. of New York Univ., Brooklyn, NY, USA
fDate :
3/1/2011 12:00:00 AM
Abstract :
We analyze the discrete-time consensus problem for a group of agents that communicate through a stochastic directed network with fixed out-degree. This network construction models the perceptual phenomenon of numerosity observed in animal groups exhibiting collective behavior. We find necessary and sufficient conditions for mean square consentability of the averaging protocol and we derive a closed form expression for the asymptotic convergence factor. Analytical results are illustrated through simulations.
Keywords :
asymptotic stability; closed loop systems; discrete time systems; random processes; stochastic systems; animal groups; asymptotic convergence factor; averaging protocol; collective behavior; discrete-time consensus problem; mean square consentability; necessary condition; numerosity constrained random network; perceptual phenomenon; stochastic directed network; sufficient condition; Consensus; network analysis and control; random graphs; stability of linear systems; stochastic systems;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2010.2092270