Yanqin Sun, Huaiyu Wu, Zhihuan Chen, Yang Chen, Xiujuan Zheng
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引用次数: 0
Abstract
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.
网络拓扑结构在决定网络特性和动态行为方面起着关键作用。但在实际应用中,由于网络的复杂性,网络拓扑有时是隐藏的或不确定的。本文提出了一种基于鲁棒同步的拓扑观测器(STO),并将其应用于解决复杂延迟网络(TICDN)的拓扑识别问题。与现有文献相比,本文提出的 STO 无需事先了解拓扑参数的范围,对拓扑类型也没有严格限制。此外,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,通过几个 TICDN 的对比实例来验证所提 STO 的可行性和效率,结果表明所提 STO 优于其他方法。
期刊介绍:
Entropy (ISSN 1099-4300), an international and interdisciplinary journal of entropy and information studies, publishes reviews, regular research papers and short notes. Our aim is to encourage scientists to publish as much as possible their theoretical and experimental details. There is no restriction on the length of the papers. If there are computation and the experiment, the details must be provided so that the results can be reproduced.