混合延迟签名网络的有限时间和固定时间二部同步

IF 5.5 2区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Neurocomputing Pub Date : 2025-07-08 DOI:10.1016/j.neucom.2025.130942

Yao Tan , Junjian Huang , Wei Zhang , Junren Wang , Shiping Wen , Tingwen Huang

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引用次数: 0

摘要

本文利用量化控制策略研究了时变和分布延迟（混合延迟）签名网络的有限时间（FET）和固定时间（FDT）二部同步问题。相邻节点之间的通信链路可以是正的，也可以是负的，代表了网络的签名性质。假设一个平衡的网络结构，通过坐标变换、范数分析技术和微分不等式推导了FET和FDT二部同步的充分条件。最后，给出了三个仿真结果来验证理论结果的有效性。

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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Finite-time and fixed-time bipartite synchronization of signed networks with mixed delays

This paper investigates finite-time (FET) and fixed-time (FDT) bipartite synchronization of signed networks with time-varying and distributed delays (mixed delays) using quantized control strategies. The communication links between adjacent nodes can be either positive or negative, representing the signed nature of the network. Assuming a balanced network structure, sufficient conditions for FET and FDT bipartite synchronization are derived through coordinate transformations, norm analytical techniques, and differential inequalities. Finally, three simulation results are provided to validate the efficacy of the theoretical findings.

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来源期刊

Neurocomputing 工程技术-计算机：人工智能

CiteScore

13.10

自引率

10.00%

发文量

1382

审稿时长

70 days

期刊介绍： Neurocomputing publishes articles describing recent fundamental contributions in the field of neurocomputing. Neurocomputing theory, practice and applications are the essential topics being covered.