动态复杂网络中基于自适应同步的耦合延迟或节点延迟实时识别方法

Xiaoming Wu, Zhiyong Sun, F. Liang, Changbin Yu
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引用次数: 0

摘要

时滞复杂网络的控制与同步问题近年来受到广泛关注。然而,在现有的文献中,关于复杂网络的延迟估计的研究成果很少。本文基于观测器概念和自适应同步策略,提出了一种通用的、系统的复杂网络未知时延估计方法。考虑了两种延迟,耦合延迟和节点延迟。得到了实时识别未知网络时延的若干准则。利用Lyapunov-Krasovskii泛函方法和Barbalat引理证明了增广误差系统的局部稳定性。通过两个典型实例验证了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive synchronization-based approach for real-time identification of coupling delays or node delays in dynamical complex networks
The control and synchronization of time-delayed complex networks have gained considerable attention recently. However, in the existing literature there is few result on the delay estimation in complex networks. In this paper, based on the observer concept and the adaptive synchronization strategy, we present a general and systematic method to estimate the unknown time delays in complex networks. Two kinds of delays, the coupling delays and the node delays, are considered. Several criteria are obtained for the real time identification of the unknown network delays. The local stability of the augmented error systems is proved via the Lyapunov-Krasovskii functional approach and the Barbalat's Lemma. Two typical examples are presented to verify the effectiveness of the proposed approach.
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