Exponential stability criteria for fuzzy bidirectional associative memory Cohen-Grossberg neural networks with mixed delays and impulses

Advances in Difference Equations

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