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

被引：0
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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：
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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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