Discrete-time dynamic average consensus

被引：344

作者：

Zhu, Minghui ^{[1
]}

Martinez, Sonia ^{[1
]}

机构：

[1] Univ Calif San Diego, Dept Mech & Aerosp Engn, La Jolla, CA 92093 USA

来源：

AUTOMATICA | 2010年 / 46卷 / 02期

关键词：

Consensus algorithms; Multi-agent systems; Cooperative control; MULTIAGENT COORDINATION; COOPERATIVE CONTROL; CONVERGENCE; NETWORKS; AGENTS;

D O I：

10.1016/j.automatica.2009.10.021

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We propose a class of discrete-time dynamic average consensus algorithms that allow a group of agents to track the average of their reference inputs. The convergence results rely on the input-to-output stability properties of static average consensus algorithms and require that the union of communication graphs over a bounded period of time be strongly connected. The only requirement on the set of reference inputs is that the maximum relative deviation between the nth-order differences of any two reference inputs be bounded for some integer n >= 1. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：322 / 329

页数：8

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