Discrete-time dynamic average consensus

Minghui Zhu

doi:10.1016/j.automatica.2009.10.021

2010-02-01

387

PRE

Minghui Zhu *

Sonia Martı́nez

DOI：10.1016/j.automatica.2009.10.021

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摘要

En 中文

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.

Keyword:

Consensus algorithms

Multi-agent systems

Cooperative control

期刊

Automatica

IF:

5.9

论文数:

1.2W

被引数:

5.2W

机构

University of California System

学者数:

37.5W

论文数: 33.7W

被引数: 6.6K

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