期刊论文详细信息
Advances in Difference Equations | |
Exponential stability criteria for fuzzy bidirectional associative memory Cohen-Grossberg neural networks with mixed delays and impulses | |
Longxian Chu1  Weina He1  | |
[1] Software College, Pingdingshan University, Pingdingshan, PR China | |
关键词: fuzzy BAM Cohen-Grossberg neural networks; exponential stability; mixed delays; periodic solution; impulse; 34C20; 34K13; 92B20; | |
DOI : 10.1186/s13662-017-1082-9 | |
学科分类:数学(综合) | |
来源: SpringerOpen | |
【 摘 要 】
This paper is concerned with fuzzy bidirectional associative memory (BAM) Cohen-Grossberg neural networks with mixed delays and impulses. By constructing an appropriate Lyapunov function and a new differential inequality, we obtain some sufficient conditions which ensure the existence and global exponential stability of a periodic solution of the model. The results in this paper extend and complement the previous publications. An example is given to illustrate the effectiveness of our obtained results.
【 授权许可】
CC BY
【 预 览 】
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