journal6 ›› 2012, Vol. 33 ›› Issue (4): 37-40.DOI: 10.3969/j.issn.1007-2985.2012.04.008
• 数学 • 上一篇 下一篇
出版日期:
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作者简介:
基金资助:
安徽省青年人才基金资助项目（2010SQRL196）；阜阳师范学院校级资助项目（2011FSKJ14）
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摘要：主要研究了具有分布时滞的随机系统的全局指数鲁棒稳定性，依据李雅普诺夫方法和线性矩阵不等式的方法，得到了参数不确定时滞相关的全局均方指数稳定性准则，数值实例演示证明其结果的有效性和可行性.
关键词： 神经网络, 离散分布时滞, 指数稳定, 线性矩阵不等式
Abstract: The global exponential stability of stochastic neural networks with discrete and distributed time-varying delays is investigated.According to the Lyapunov stability theory and LMIs approaches,delay-dependent criteria are derived to ensure the global robust exponential stability of the addressed system in the mean square for all admissible parameter uncertainties.A numerical example is given to illustrate the effectiveness of the results obtained.
Key words: neural network, discrete and distributed time-varying delays, exponential stability, LMIS
康卫, 李林国. 离散分布时滞随机神经网络的稳定性[J]. journal6, 2012, 33(4): 37-40.
KANG Wei, LI Lin-Guo. Stability of Stochastic Neural Networks with Discrete and Distributed Time-Varying Delays[J]. journal6, 2012, 33(4): 37-40.
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链接本文: https://zkxb.jsu.edu.cn/CN/10.3969/j.issn.1007-2985.2012.04.008
https://zkxb.jsu.edu.cn/CN/Y2012/V33/I4/37
