Partial Topology Identification of Stochastic Multi-Weighted Complex Networks Based on Graph-Theoretic Method and Adaptive Synchronization

被引:1
|
作者
Chen, Huiling [1 ]
Zhang, Chunmei [1 ]
Feng, Yuli [1 ]
Xu, Qin [1 ]
机构
[1] Southwest Jiaotong Univ, Sch Math, Chengdu 610031, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
Partial topology identification; graph-theoretic method; multi-weighted complex networks; adaptive pinning control; nonlinear coupling; NEURAL-NETWORKS; SYSTEMS; STABILITY;
D O I
10.4208/aamm.OA-2022-0068
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This article aims to identify the partial topological structures of delayed complex network. Based on the drive-response concept, a more universal model, which includes nonlinear couplings, stochastic perturbations and multi-weights, is considered into drive-response networks. Different from previous methods, we obtain identification criteria by combining graph-theoretic method and adaptive synchronization. After that, the partial topological structures of stochastic multi-weighted complex networks with or without time delays can be identified successfully. Moreover, response network can reach synchronization with drive network. Ultimately, the effectiveness of the proposed theoretical results is validated through numerical simulations.
引用
收藏
页码:1428 / 1455
页数:28
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