多路网络层内同步的分布式自适应算法

IF 10.5 1区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

IEEE Transactions on Cybernetics Pub Date : 2025-03-02 DOI:10.1109/TCYB.2025.3562274

Yujuan Han;Lili Wang;Wenlian Lu;Tianping Chen

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引用次数: 0

摘要

本文研究了多路网络层内同步的分布式自适应算法，包括带和不带固定控制。根据所调整的参数，考虑了两种分布式自适应算法：1)基于节点的算法，利用相邻节点和自身的相对信息来调整每个节点的耦合强度；2)基于边缘的算法，根据连接的两个节点之间的相对信息更新每个边的耦合权值。利用Lyapunov函数方法，证明了在解耦节点动力学的温和条件下，所提出的自适应策略对任何具有强连接层内拓扑的复用网络都能保证层内同步。

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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Distributed Adaptive Algorithms for Intralayer Synchronization of Multiplex Networks

This article investigates distributed adaptive algorithms for intralayer synchronization of multiplex networks, both with and without pinning control. Two types of distributed adaptive algorithms are considered based on the parameters being adjusted: 1) node-based algorithms, which adapt the coupling strength of each node using the relative information from its neighborhood and itself, and 2) edge-based algorithms, which update the coupling weight of each edge based on the relative information between the two connected nodes. Using the Lyapunov function method, we prove that, under mild conditions on the uncoupled node dynamics, the proposed adaptive strategies guarantee intralayer synchronization for any multiplex network with strongly connected intralayer topologies.

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来源期刊

IEEE Transactions on Cybernetics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, CYBERNETICS

CiteScore

25.40

自引率

11.00%

发文量

1869

期刊介绍： The scope of the IEEE Transactions on Cybernetics includes computational approaches to the field of cybernetics. Specifically, the transactions welcomes papers on communication and control across machines or machine, human, and organizations. The scope includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, cognitive systems, decision making, and robotics, to the extent that they contribute to the theme of cybernetics or demonstrate an application of cybernetics principles.