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

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作者
Weina He
Longxian Chu
机构
[1] Pingdingshan University,Software College
关键词
fuzzy BAM Cohen-Grossberg neural networks; exponential stability; mixed delays; periodic solution; impulse; 34C20; 34K13; 92B20;
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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.
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