同步(交流)
计算机科学
控制(管理)
控制系统
理论(学习稳定性)
超图
班级(哲学)
序列(生物学)
数学
弹道
多维系统
理论计算机科学
拓扑(电路)
电子邮件
方案(数学)
控制理论(社会学)
数学优化
算法
过程控制
离散数学
图论
算法设计
分布式计算
作者
Manman Yuan,Pengkai Wang,Jiapei Li,Haobin Cao,Hui Li,Huanhuan Chen
标识
DOI:10.1109/tcns.2026.3695963
摘要
Pinning control provides a practical and cost-saving means to control hypergraph networks. However, most existing studies on hypergraph networks are restricted to static topologies and often overlook dynamic causal interactions, limiting the effective selection of pinned nodes in practical scenarios. Motivated by these, this paper proposes a novel multi-link directed hypergraph (MDH) and a causality-aware pinning control (CAPC) scheme to ensure fixed/predefined-time synchronization. Specifically, a MDH with time-varying higher-order structures is constructed to characterize dynamic, multi-weight, and directed interactions among nodes. Moreover, to adapt to the time-varying and higher-order properties of the MDH, CAPC is introduced to dynamically identify energy-efficient pinned nodes based on causal relationships in higher-order networks. Finally, based on the data-driven selected pinned nodes, sufficient conditions for the design of adaptive fixed/predefined-time pinning controllers are rigorously derived. Numerical simulations and a secure communication application further validate the effectiveness of the proposed approach in resource-constrained environments.
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