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[1]陈超.具分布时滞和脉冲的BAM神经网络的全局指数稳定性[J].集美大学学报(自然科学版),2018,23(4):305-311.
　CHEN Chao.Exponential Stability of BAM Neural Networks with Impulsive and Continuously Distributed Delays[J].Journal of Jimei University,2018,23(4):305-311.
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《集美大学学报（自然科学版）》[ISSN:1007-7405/CN:35-1186/N]

卷:
第23卷
期数:
2018年第4期
页码:
305-311
栏目:
数理科学与信息工程
出版日期:
2018-07-28

文章信息/Info

Title:
Exponential Stability of BAM Neural Networks with Impulsive and Continuously Distributed Delays
作者:
陈超
（集美大学理学院，福建 厦门 361021）
Author(s):
CHEN Chao
（School of Science，Jimei University,Xiamen 361021,China）
关键词:
BAM神经网络; 连续分布时滞; 全局指数稳定性
Keywords:
BAM neural networks; continuously distributed delays; exponential stability
分类号:
-
DOI:
-
文献标志码:
A
摘要:
讨论一类具有连续分布时滞和脉冲影响的双向联想记忆（bidirectional associative memory,BAM)神经网络，通过M－矩阵、谱理论以及建立脉冲时滞微分不等式，得到系统平衡点的存在唯一性及全局指数稳定性的充分判别条件。最后，给出一个实例，说明结论的可行性和有效性。
Abstract:
In this paper,the global exponential stability of a bidirectional associative memory (BAM) neural networks with impulses and continuously distributed delays were investigated.By using M-matrix,spectral theory and establishing an impulsive delay differential inequality,some new sufficient conditions for the existence and global exponential stability of the considered system were obtained.Finally,an example was given to illustrate the feasibility and effectiveness of the conclusion.

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更新日期/Last Update: 2018-09-13