Distributed Stopping Criterion for Ratio Consensus

M. Prakash, Saurav Talukdar, Sandeep Attree, Sourav Patel, M. Salapaka
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引用次数: 11

Abstract

Distributed averaging of initial conditions held by multiple agents is a well-studied problem in context of networked systems where coordination amongst the agents is of paramount importance. The asymptotic nature of distributed averaging protocols makes it challenging to implement in practical settings as it does not lend itself to a finite-time stopping criterion that can be ascertained distributively. It is important that agents develop the ability to detect on their own when average of the initial conditions of the agents is achieved within some pre-specified tolerance and stop further computations. This article presents a distributed stopping criterion for distributed averaging using ratio consensus on a fixed interconnection topology (captured by a directed or undirected graph). The practical utility of the algorithm is illustrated through simulations.
比率一致性的分布停止准则
在网络系统中,多个智能体持有的初始条件的分布式平均是一个研究得很好的问题,在网络系统中,智能体之间的协调是至关重要的。分布式平均协议的渐近性质使其在实际设置中实现具有挑战性,因为它不适合可以分布确定的有限时间停止准则。重要的是,当智能体的初始条件的平均值在预先指定的容差范围内达到时,智能体发展自己检测的能力,并停止进一步的计算。本文提出了一种使用固定互连拓扑(由有向图或无向图捕获)上的比率一致性进行分布式平均的分布式停止准则。通过仿真说明了该算法的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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