Robust delay-distribution-dependent stability of discrete-time stochastic neural networks with time-varying delay
Robust delay-distribution-dependent stability of discrete-time stochastic neural networks with time-varying delay
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时变时滞离散时间随机神经网络的鲁棒时滞分布依赖稳定性
DOI：
10.1016/j.neucom.2008.01.028
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发表时间：
2009
期刊：
影响因子：
6
通讯作者：
中科院分区：
文献类型：
--
作者：
对一类具有参数不确定性的离散随机延迟神经网络（dsnn）进行了鲁棒时滞分布相关随机稳定性分析。该方法同时考虑了时滞的变化范围和分布概率的影响。将时滞的分布概率转化为传递的DSNNs模型的参数矩阵，该模型的参数不确定性是范数有界的，随机扰动用布朗运动来描述，时变时滞通过引入伯努利随机变量来表征。通过Lyapunov方法和引入一些新的分析技术，得到了dsnn在均方意义上具有鲁棒全局指数稳定的延迟分布相关准则。算例表明了该方法的有效性和适用性。
A robust delay-distribution-dependent stochastic stability analysis is conducted for a class of discrete-time stochastic delayed neural networks (DSNNs) with parameter uncertainties. The effects of both variation range and distribution probability of the time delay are taken into account in the proposed approach. The distribution probability of time delay is translated into parameter matrices of the transferred DSNNs model, in which the parameter uncertainties are norm-bounded, the stochastic disturbances are described in term of a Brownian motion, and the time-varying delay is characterized by introducing a Bernoulli stochastic variable. Some delay-distribution-dependent criteria for the DSNNs to be robustly globally exponentially stable in the mean square sense are achieved by Lyapunov method and introducing some new analysis techniques. Two numerical examples are provided to show the effectiveness and applicability of the proposed method.
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影响因子：
2.6
作者：
Jinling Liang;Jinde Cao;D. Ho
通讯作者：
Jinling Liang;Jinde Cao;D. Ho
影响因子：
6
作者：
Yonghui Sun;Jinde Cao;Zidong Wang
通讯作者：
Yonghui Sun;Jinde Cao;Zidong Wang
DOI：
10.1016/j.neunet.2005.10.005
发表时间：
2006-05
期刊：
Neural networks : the official journal of the International Neural Network Society
影响因子：
--
作者：
K. Hirasawa;S. Mabu;Jinglu Hu
通讯作者：
K. Hirasawa;S. Mabu;Jinglu Hu
DOI：
10.1109/tcsii.2004.829572
发表时间：
2003-09
期刊：
IEEE Transactions on Circuits and Systems II: Express Briefs
影响因子：
--
作者：
Zidong Wang;D. Ho;Xiaohui Liu
通讯作者：
Zidong Wang;D. Ho;Xiaohui Liu
影响因子：
4
作者：
Mohamad, S;Gopalsamy, K
通讯作者：
Gopalsamy, K