On performance of consensus protocols subject to noise: Role of hitting times and network structure

We study the performance of linear consensus protocols based on repeated averaging in the presence of additive noise. When the consensus dynamics corresponds to a reversible Markov chain, we give an exact expression for the weighted steady-state disagreement in terms of the stationary distribution and hitting times in an underlying graph. This expression unifies and extends several results in the existing literature.

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