| 一类随机离散神经网络全局渐近同步 |
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| 引用本文： | 陈忠,黄优良.一类随机离散神经网络全局渐近同步[J].福州大学学报(自然科学版),2012,40(2):198-203. |
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| 作者姓名： | 陈忠 黄优良 |
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| 作者单位： | 韶关学院数学与信息科学学院 |
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| 基金项目： | 广东省自然科学基金资助项目(0314957301275);广东省韶关学院科研资助项目(20120102) |
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| 摘 要： | 研究离散型时滞随机神经网络的同步问题,考虑了参数不确定性,解决离散型分布时滞对神经网络同步问题的影响.基于主从同步的概念,设计一个有更广泛应用的控制器,应用Lyapunov稳定性理论和线性矩阵不等式工具箱,得到这类神经网络同步的充分性判据.最后给出实际例子,检验了判据的有效性.
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| 关 键 词： | 神经网络 离散时滞 分布时滞 随机动力系统 同步 |
Synchronization of a class of uncertain stochastic discrete-time delayed neural networks |
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| CHEN Zhong,HUANG You-liang.Synchronization of a class of uncertain stochastic discrete-time delayed neural networks[J].Journal of Fuzhou University(Natural Science Edition),2012,40(2):198-203. |
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| Authors: | CHEN Zhong HUANG You-liang |
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| Institution: | (Department of Mathematical and Information Science,Shaoguan University,Shaoguan,Guangdong 512005,China) |
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| Abstract: | The global asymptotical synchronization problem is discussed for a general class of uncertain stochastic discrete-time neural networks with time delay in this paper.Time delays include time-varying delay and distributed delay.A better controller is designed for synchronization.Based on the drive-response concept and the Lyapunov stability theorem,a linear matrix inequality(LMI) approach is exploited to establish sufficient conditions under which the considered neural networks are globally asymptotically synchronized in the mean square. |
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| Keywords: | neural networks time-varying delays distributed delays stochastic delayed dynamical system synchronization |
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