Distributed Identification for Node and Edge Numbers of Time-Varying Anonymous Networks

IF 4 3区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

IEEE Transactions on Control of Network Systems Pub Date : 2025-01-07 DOI:10.1109/TCNS.2025.3526549

Xingjian Liu;Hai-Tao Zhang;Haosen Cao;Ning Xing;Bowen Xu;Jiayu Zou;Haofei Meng

引用次数: 0

Abstract

In this article, a distributed algorithm is proposed to identify the node and edge numbers of anonymous leader–follower networks. The present distributed method works merely by exchanging scalar information by local intercommunication. The merit of the algorithm lies in identifying the required network parameters in time-varying topological networks without special initialization. Sufficient conditions are derived for cascading systems to theoretically guarantee the exponential convergence of the individual estimation to the total number of nodes or edges merely by local information exchange. Finally, numerical simulations are conducted to substantiate the effectiveness of the present identification algorithm.

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时变匿名网络节点数和边缘数的分布式识别

本文提出了一种分布式算法来识别匿名领导-追随者网络的节点数和边缘数。目前的分布式方法仅仅是通过局部通信交换标量信息。该算法的优点在于无需特殊初始化即可在时变拓扑网络中识别出所需的网络参数。导出了级联系统仅通过局部信息交换就能从理论上保证单个估计对节点或边总数的指数收敛的充分条件。最后，通过数值仿真验证了该识别算法的有效性。

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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来源期刊

IEEE Transactions on Control of Network Systems Mathematics-Control and Optimization

CiteScore

7.80

自引率

7.10%

发文量

169

期刊介绍： The IEEE Transactions on Control of Network Systems is committed to the timely publication of high-impact papers at the intersection of control systems and network science. In particular, the journal addresses research on the analysis, design and implementation of networked control systems, as well as control over networks. Relevant work includes the full spectrum from basic research on control systems to the design of engineering solutions for automatic control of, and over, networks. The topics covered by this journal include: Coordinated control and estimation over networks, Control and computation over sensor networks, Control under communication constraints, Control and performance analysis issues that arise in the dynamics of networks used in application areas such as communications, computers, transportation, manufacturing, Web ranking and aggregation, social networks, biology, power systems, economics, Synchronization of activities across a controlled network, Stability analysis of controlled networks, Analysis of networks as hybrid dynamical systems.