东南大学学报（英文版）2010，Vol.26Issue(3)：448-452,5.
具有混杂耦合的耦合时滞神经网络同步的进一步分析
Improved results on synchronization in arrays of coupled delayed neural networks with hybrid coupling
摘要
Abstract
In order to investigate the influence of hybrid coupling on the synchronization of delayed neural networks, by choosing an improved delay-dependent Lyapunov-Krasovskii functional, one less conservative asymptotical criterion based on linear matrix inequality (LMI) is established. The Kronecker product and convex combination techniques are employed. Also the bounds of time-varying delays and delay derivatives are fully considered. By adjusting the inner coupling matrix parameters and using the Matlab LMI toolbox, the design and applications of addressed coupled networks can be realized. Finally, the efficiency and applicability of the proposed results are illustrated by a numerical example with simulations.关键词
时滞神经网络/混杂耦合/全局同步/Lyapunov-Krasovskii泛函/线性矩阵不等式Key words
delayed neural networks/hybrid coupling/synchronization/Lyapunov-Krasovskii functional/linear matrix inequality (LMI)分类
信息技术与安全科学引用本文复制引用
张海涛,王婷,费树岷,李涛..具有混杂耦合的耦合时滞神经网络同步的进一步分析[J].东南大学学报（英文版）,2010,26(3):448-452,5.基金项目
The National Natural Science Foundation of China (No.60764001, 60835001, 60875035, 61004032), the Postdoctoral Key Research Fund of Southeast University, the Natural Science Foundation of Jiangsu Province(No.BK2008294). （No.60764001, 60835001, 60875035, 61004032）
