Quasi-exact dynamic average consensus under asynchronous communication and symmetric delays.

IF 6.5
Rodrigo Aldana-López, Rosario Aragüés, Carlos Sagüés
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引用次数: 0

Abstract

This work focuses on the problem of dynamic average consensus, which involves computing the average of a set of time-varying reference signals spread across a network in a distributed fashion. To make this problem more applicable to realistic scenarios, we consider agents in the network that can only communicate at asynchronous discrete-time instants and are subject to time-varying symmetric edge-wise delays. Our proposal is based on high-order sliding modes. It is quasi-exact in the sense that exact convergence to the average signal is obtained when continuous-time communication is available, even if the dynamic average is persistently varying. Additionally, under asynchronous discrete-time communication, our proposal exhibits reduced chattering and improved robustness compared to other approaches. We provide a formal analysis of the algorithm's convergence and present several numerical experiments to verify the advantages of our proposal.

异步通信和对称时延下的准精确动态平均一致性。
这项工作的重点是动态平均共识问题,它涉及以分布式方式计算一组时变参考信号在网络上传播的平均值。为了使这个问题更适用于现实场景,我们考虑网络中的代理只能在异步离散时刻进行通信,并且受到时变对称边缘延迟的影响。我们的建议是基于高阶滑动模式。它是准精确的,即在连续时间通信可用时,即使动态平均值持续变化,也能精确收敛到平均信号。此外,在异步离散时间通信下,与其他方法相比,我们的方案具有更少的抖振和更高的鲁棒性。我们对该算法的收敛性进行了形式化分析,并给出了几个数值实验来验证我们的建议的优点。
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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