代数图论
代数连通性
网络拓扑
一致共识
拓扑(电路)
计算机科学
共识
李雅普诺夫函数
功能(生物学)
趋同(经济学)
有向图
多智能体系统
图论
理论计算机科学
图形
拉普拉斯矩阵
数学
算法
人工智能
生物
进化生物学
操作系统
组合数学
物理
量子力学
非线性系统
经济
经济增长
作者
R. Olfati-Saber,Richard M. Murray
出处
期刊:IEEE Transactions on Automatic Control
[Institute of Electrical and Electronics Engineers]
日期:2004-09-01
卷期号:49 (9): 1520-1533
被引量:11781
标识
DOI:10.1109/tac.2004.834113
摘要
In this paper, we discuss consensus problems for networks of dynamic agents with fixed and switching topologies. We analyze three cases: 1) directed networks with fixed topology; 2) directed networks with switching topology; and 3) undirected networks with communication time-delays and fixed topology. We introduce two consensus protocols for networks with and without time-delays and provide a convergence analysis in all three cases. We establish a direct connection between the algebraic connectivity (or Fiedler eigenvalue) of the network and the performance (or negotiation speed) of a linear consensus protocol. This required the generalization of the notion of algebraic connectivity of undirected graphs to digraphs. It turns out that balanced digraphs play a key role in addressing average-consensus problems. We introduce disagreement functions for convergence analysis of consensus protocols. A disagreement function is a Lyapunov function for the disagreement network dynamics. We proposed a simple disagreement function that is a common Lyapunov function for the disagreement dynamics of a directed network with switching topology. A distinctive feature of this work is to address consensus problems for networks with directed information flow. We provide analytical tools that rely on algebraic graph theory, matrix theory, and control theory. Simulations are provided that demonstrate the effectiveness of our theoretical results.
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