Existence and stability of periodic solutions for impulsive fuzzy BAM Cohen-Grossberg neural networks on time scales

被引：0
|
作者：
Shaohong Cai
Qianhong Zhang
机构：
[1] Guizhou University of Finance and Economics,Guizhou Key Laboratory of Economics System Simulation
[2] Guizhou University of Finance and Economics,School of Mathematics and Statistics
来源：
Advances in Difference Equations | / 2016卷
关键词：
periodic solutions; fuzzy Cohen-Grossberg BAM neural networks; coincidence degree; impulses; time scales;
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学科分类号：
摘要：
This paper is concerned with the existence and global exponential stability of periodic solutions for a kind of impulsive fuzzy Cohen-Grossberg BAM neural networks on time scales. Applying the method of coincidence degree and constructing some suitable Lyapunov functional, we obtain some sufficient conditions for the existence and global exponential stability of periodic solutions for a kind of impulsive fuzzy Cohen-Grossberg BAM neural networks on time scales. Moreover, we give an example to illustrate the results obtained.
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