arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 0910.3883cs.MAcs.DCcs.NI
收藏

有向切换网络中随机一致性的方差分析

Variance Analysis of Randomized Consensus in Switching Directed Networks

Victor M. Preciado, Alireza Tahbaz-Salehi, Ali Jadbabaie

摘要:

本文研究了切换有向随机网络上分布式共识算法的渐近性质。更具体地说,我们专注于共识算法在独立和同分布,有向Erdos-Renyi随机图,每个代理可以与任何其他代理与一些外部指定的概率$p$。虽然它是众所周知的,共识算法在Erdos-Renyi随机网络的结果在网络上的渐近协议,渐近共识值的分布的分析表征仍然是一个悬而未决的问题。在本文中,我们提供的渐近随机共识值的均值和方差的封闭形式的表达式,在网络的大小和通信的概率$p$。我们还提供了数值模拟来说明我们的结果。

英文摘要:

In this paper, we study the asymptotic properties of distributed consensus algorithms over switching directed random networks. More specifically, we focus on consensus algorithms over independent and identically distributed, directed Erdos-Renyi random graphs, where each agent can communicate with any other agent with some exogenously specified probability $p$. While it is well-known that consensus algorithms over Erdos-Renyi random networks result in an asymptotic agreement over the network, an analytical characterization of the distribution of the asymptotic consensus value is still an open question. In this paper, we provide closed-form expressions for the mean and variance of the asymptotic random consensus value, in terms of the size of the network and the probability of communication $p$. We also provide numerical simulations that illustrate our results.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑