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Volume 15, Issue 6
Partial Topology Identification of Stochastic Multi-Weighted Complex Networks Based on Graph-Theoretic Method and Adaptive Synchronization

Huiling Chen, Chunmei Zhang, Yuli Feng & Qin Xu

Adv. Appl. Math. Mech., 15 (2023), pp. 1428-1455.

Published online: 2023-10

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  • Abstract

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.

  • AMS Subject Headings

60H10, 93D05, 93E12

  • Copyright

COPYRIGHT: © Global Science Press

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@Article{AAMM-15-1428, author = {Chen , HuilingZhang , ChunmeiFeng , Yuli and Xu , Qin}, title = {Partial Topology Identification of Stochastic Multi-Weighted Complex Networks Based on Graph-Theoretic Method and Adaptive Synchronization}, journal = {Advances in Applied Mathematics and Mechanics}, year = {2023}, volume = {15}, number = {6}, pages = {1428--1455}, abstract = {

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.

}, issn = {2075-1354}, doi = {https://doi.org/10.4208/aamm.OA-2022-0068}, url = {http://global-sci.org/intro/article_detail/aamm/22047.html} }
TY - JOUR T1 - Partial Topology Identification of Stochastic Multi-Weighted Complex Networks Based on Graph-Theoretic Method and Adaptive Synchronization AU - Chen , Huiling AU - Zhang , Chunmei AU - Feng , Yuli AU - Xu , Qin JO - Advances in Applied Mathematics and Mechanics VL - 6 SP - 1428 EP - 1455 PY - 2023 DA - 2023/10 SN - 15 DO - http://doi.org/10.4208/aamm.OA-2022-0068 UR - https://global-sci.org/intro/article_detail/aamm/22047.html KW - Partial topology identification, graph-theoretic method, multi-weighted complex networks, adaptive pinning control, nonlinear coupling. AB -

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.

Huiling Chen, Chunmei Zhang, Yuli Feng & Qin Xu. (2023). Partial Topology Identification of Stochastic Multi-Weighted Complex Networks Based on Graph-Theoretic Method and Adaptive Synchronization. Advances in Applied Mathematics and Mechanics. 15 (6). 1428-1455. doi:10.4208/aamm.OA-2022-0068
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