一种估计多智能体网络代数连通性的分散离散时间算法

2016 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS) Pub Date : 2016-10-01 DOI:10.1109/APCCAS.2016.7803941

Kento Endo, Norikazu Takahashi

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引用次数: 6

摘要

网络的代数连通性被定义为拉普拉斯矩阵的第二小特征值，表示网络的连接程度。提出了一种新的分散离散时间算法，用于估计多智能体网络的代数连通性。理论分析和数值实验验证了该算法的有效性。

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A new decentralized discrete-time algorithm for estimating algebraic connectivity of multiagent networks

Algebraic connectivity of a network, which is defined as the second smallest eigenvalue of the Laplacian matrix, represents how strongly the network is connected. This paper proposes a new decentralized discrete-time algorithm for the estimation of the algebraic connectivity of multiagent networks. The validity of the proposed algorithm is verified by theoretical analysis and numerical experiments.

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2016 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)

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