Sun Yanqin, Wu Huaiyu, Chen Zhihuan, Chen Yang, Zheng Xiujuan
School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China.
School of Mechatronics and Intelligent Manufacturing, Huanggang Normal University, Huanggang 438000, China.
Entropy (Basel). 2024 Jun 18;26(6):525. doi: 10.3390/e26060525.
Network topology plays a key role in determining the characteristics and dynamical behaviors of a network. But in practice, network topology is sometimes hidden or uncertain ahead of time because of network complexity. In this paper, a robust-synchronization-based topology observer (STO) is proposed and applied to solve the problem of identifying the topology of complex delayed networks (TICDNs). In comparison to the existing literature, the proposed STO does not require any prior knowledge about the range of topological parameters and does not have strict limits on topology type. Furthermore, the proposed STO is suitable not only for networks with fixed coupling strength, but also for networks with adaptive coupling strength. Finally, a few comparison examples for TICDNs are used to verify the feasibility and efficiency of the proposed STO, and the results show that the proposed STO outperforms the other methods.
网络拓扑在决定网络的特性和动态行为方面起着关键作用。但在实际中,由于网络的复杂性,网络拓扑有时在事先是隐藏的或不确定的。本文提出并应用了一种基于鲁棒同步的拓扑观测器(STO)来解决识别复杂时滞网络(TICDNs)拓扑的问题。与现有文献相比,所提出的STO不需要关于拓扑参数范围的任何先验知识,并且对拓扑类型没有严格限制。此外,所提出的STO不仅适用于具有固定耦合强度的网络,也适用于具有自适应耦合强度的网络。最后,通过一些TICDNs的比较例子来验证所提出的STO的可行性和有效性,结果表明所提出的STO优于其他方法。