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.

中文翻译：

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识别具有随机扰动和时间延迟的复杂网络的部分拓扑

在各种实际场景中，复杂网络的拓扑一般是未知或不可用的。基于自适应反馈控制策略和 pining 机制，本文设计了一些控制器和观测器，以识别具有耦合延迟的噪声污染网络的部分拓扑。该方法可以扩展到推断网络的整个拓扑。对于大规模复杂网络，我们的方法与以前的方法相比大大减少了计算量。数值模拟被用来说明所提出的理论结果的有效性。