Partial Topology Identification of Stochastic Multi-Weighted Complex Networks Based on Graph-Theoretic Method and Adaptive Synchronization
作者机构:School of MathematicsSouthwest Jiaotong UniversityChengduSichuan 610031China
出 版 物:《Advances in Applied Mathematics and Mechanics》 (应用数学与力学进展(英文))
年 卷 期:2023年第15卷第6期
页 面:1428-1455页
核心收录:
学科分类:07[理学] 070104[理学-应用数学] 0701[理学-数学]
基 金:supported by the National Natural Science Foundation of China(No.11601445) the Fundamental Research Funds for the Central Universities(No.2682020ZT109) the Central Governments Funds for Guiding Local Scientific and Technological Development(No.2021ZYD0010)
主 题:Partial topology identification graph-theoretic method multi-weighted complex networks adaptive pinning control nonlinear coupling
摘 要:This article aims to identify the partial topological structures of delayed complex *** on the drive-response concept,a more universal model,which includes nonlinear couplings,stochastic perturbations and multi-weights,is considered into drive-response *** from previous methods,we obtain identification criteria by combining graph-theoretic method and adaptive *** that,the partial topological structures of stochastic multi-weighted complex networks with or without time delays can be identified ***,response network can reach synchronization with drive ***,the effectiveness of the proposed theoretical results is validated through numerical simulations.