Identifying partial topology of complex networks with stochastic perturbations and time delay

作者：Chen, Chunyan; Zhou, Jin^*; Qu, Fenglin; Song, Changjiang; Zhu, Shuaibing

来源：Communications in Nonlinear Science and Numerical Simulation, 2022, 115: 106779.

DOI：10.1016/j.cnsns.2022.106779

• Complex network
• Topology identification
• Stochastic perturbations
• Coupling delay
• Adaptive feedback control

In various practical scenarios, the topology of a complex network is generally unknown or unavailable. Based on the adaptive feedback control strategy and the pining mechanism, some controllers and observers are designed in this manuscript to identify the partial topology of the noise-contaminated networks with coupling delay. The approach can be extended to infer the whole topology of the networks. For large-scale complex networks, our approach greatly reduces the calculation compared with the previous methods. Numerical simulations are employed to illustrate the effectiveness of the proposed theoretical results.

• 单位
  武汉大学