有限分布延迟耦合复杂网络的指数同步。

IEEE transactions on neural networks Pub Date : 2011-12-01 Epub Date: 2011-10-10 DOI:10.1109/TNN.2011.2167759
Cheng Hu, Juan Yu, Haijun Jiang, Zhidong Teng
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引用次数: 71

摘要

本文研究了一类具有有限分布延迟耦合的复杂网络的周期性间歇控制的指数同步问题。利用一种不同的技术,与先前的一些结果进行了比较,得出了一些新颖而有用的判据。作为特例,得到了一类具有分布时滞的耦合神经网络的指数同步的几个充分条件。进一步推导了实现指数同步的控制参数可行域。值得注意的是,本文中的同步状态不是孤立的节点,而是非解耦的状态,其中内部耦合矩阵和节点的程度起着中心作用。此外,我们的结果中去掉了传统的控制宽度、非控制宽度和离散延迟的假设。最后,通过数值仿真验证了所提控制方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exponential synchronization of complex networks with finite distributed delays coupling.

In this paper, the exponential synchronization for a class of complex networks with finite distributed delays coupling is studied via periodically intermittent control. Some novel and useful criteria are derived by utilizing a different technique compared with some correspondingly previous results. As a special case, some sufficient conditions ensuring the exponential synchronization for a class of coupled neural networks with distributed delays are obtained. Furthermore, a feasible region of the control parameters is derived for the realization of exponential synchronization. It is worth noting that the synchronized state in this paper is not an isolated node but a non-decoupled state, in which the inner coupling matrix and the degree of the nodes play a central role. Additionally, the traditional assumptions on control width, non-control width, and discrete delays are removed in our results. Finally, some numerical simulations are given to demonstrate the effectiveness of the proposed control method.

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IEEE transactions on neural networks
IEEE transactions on neural networks 工程技术-工程:电子与电气
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8.7 months
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