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

Advances in Difference Equations

Changjin Xu¹  Yusen Wu² 

[1]Guizhou Key Laboratory of Economics System Simulation, Guizhou University of Finance and Economics, Guiyang, P.R. China

[2]School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang, P.R. China

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

DOI  :  10.1186/s13662-015-0497-4

学科分类：数学（综合）

来源: SpringerOpen

【 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.

【 授权许可】

CC BY