Anti-periodic solutions for high-order cellular neural networks with mixed delays and impulses

被引：0

作者：

Changjin Xu

Yusen Wu

机构：

[1] Guizhou University of Finance and Economics,Guizhou Key Laboratory of Economics System Simulation

[2] Henan University of Science and Technology,School of Mathematics and Statistics

来源：

Advances in Difference Equations | / 2015卷

关键词：

high-order cellular neural networks; anti-periodic solution; exponentially stability; delay; impulse; 34C25; 34K13; 34K25;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In this paper, delayed high-order cellular neural networks with impulses are investigated. Some sufficient conditions on the existence and exponential stability of anti-periodic solutions are established. An example with its numerical simulations is presented. Our results are new and complement previously known results.

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