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本研究针对一类受比例攻击影响的有向复杂网络，设计基于采样数据的控制策略，确保网络在受到比例攻击影响时仍可达到同步.首先借助Halanay型不等式，分析了基于采样数据的控制系统的动力学.随后应用广义代数连通度和切换系统的稳定性分析方法建立同步判据，并估计了所允许的最大采样周期.最后通过数值例子验证了理论结果的有效性.研究结果表明，当攻击频率和持续时间不超过特定阈值时，有向复杂网络可实现同步.
Abstract：This study designs a sampled-data control strategy for a class of directed complex networks subject to scaling attacks, so as to guarantee network synchronization even in the presence of such attacks. Firstly, the dynamics of the sampled-data control system are analyzed by means of Halanay-type inequalities. Subsequently, a synchronization criterion is established by applying the generalized algebraic connectivity and stability analysis methods for switched systems, and the maximum allowable sampling period is estimated. It is shown that the directed complex network can achieve synchronization when the attack frequency and duration do not exceed certain thresholds.
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基本信息:
中图分类号:O157.5
引用信息:
[1]崔颖,张爱芸.受比例攻击影响的复杂网络采样同步研究[J].长春师范大学学报,2026,45(08):9-17.
基金信息:
安徽省高校优秀青年人才支持项目(gxyq2022038); 安徽省高校自然科学研究重点项目(2022AH051336); 国家级大学生创新创业训练计划项目(202510371040); 安徽省新时代育人质量工程项目(2025zyxwjxalk294)
2026-08-20
2026-08-20