时变时滞的BAM神经网络的指数稳定性分析

Exponential stability of BAM neural network with time-varying delays

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摘要引入一种全新的BAM神经网络系统,通过一种变换变为易于处理的情形,并用LM(I线性矩阵不等式)的方法对它进行了指数稳定性分析;介绍了一维和二维的两种模型,两种模型存在着很多相同点。 This paper introduces a new BAM neural network,which is transformed into a simple case.The method of LMI is used to analyze the exponential stability of the new system.This paper make research on the one-dimensional and two-dimensional respectively.Of course,the two cases have many similarities.

作者张林

机构地区西南石油大学理学院

出处《保山学院学报》 2016年第2期50-58,共9页 JOURNAL OF BAOSHAN UNIVERSITY

关键词指数稳定线性矩阵不等式神经网络 exponential stability linear matrix equality neural networks

分类号 O13 [理学—基础数学]

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参考文献8

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时变时滞的BAM神经网络的指数稳定性分析

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