Academic Commons


A Necessary and Sufficient Condition for Consensus Over Random Networks

Tahbaz-Salehi, Alireza; Jadbabaie, Ali

We consider the consensus problem for stochastic discrete-time linear dynamical systems. The underlying graph of such systems at a given time instance is derived from a random graph process, independent of other time instances. For such a framework, we present a necessary and sufficient condition for almost sure asymptotic consensus using simple ergodicity and probabilistic arguments. This easily verifiable condition uses the spectrum of the average weight matrix. Finally, we investigate a special case for which the linear dynamical system converges to a fixed vector with probability



Also Published In

IEEE Transactions on Automatic Control

More About This Work

Academic Units
Published Here
September 7, 2011