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混合时滞与非线性控制输入神经网络同步分析
引用本文:黄优良. 混合时滞与非线性控制输入神经网络同步分析[J]. 贵州大学学报(自然科学版), 2007, 24(4): 352-356
作者姓名:黄优良
作者单位:韶关学院,数学系,广东,韶关,512005;扬州大学,数学科学学院,江苏,扬州,225002
基金项目:江苏省教育厅自然科学基金 , 扬州大学科技创新培育基金
摘    要:研究了一类具有时变时滞与无穷分布时滞、控制输入具扇形非线性性(sector nonlin-earity in the control input)的神经网络的全局渐近同步问题,基于驱动-响应方法和Lyapunov理论,适当设计一个失忆扩散的输入控制律,给出了驱动系统与响应系统同步的充分条件。

关 键 词:同步  细胞神经网络  时变时滞  分布时滞  Lyapunov方法
文章编号:1000-5269(2007)04-0352-05
修稿时间:2007-05-31

Synchronization of a Class of Neural Networks Containing Hybrid Delays and Sector Nonlinearity
HUANG You-liang. Synchronization of a Class of Neural Networks Containing Hybrid Delays and Sector Nonlinearity[J]. Journal of Guizhou University(Natural Science), 2007, 24(4): 352-356
Authors:HUANG You-liang
Affiliation:1. Mathematical Department, Shaoguan University, Shaoguan Guangdong, 512005, China; 2. Mathematical science college, Yangzhou University, Yangzhou Jiangsu, 225002, China
Abstract:In this paper,the global synchronization of a class of delayed neural networks with time-varying and distributed delays are discussed.Based on drive-response concept and Lyapunov stability theorem,some sufficient conditions are achieved to guarantee the global asymptotic synchronization of such a system,in which the response system contains external disturbance and sector nonlinearity.The proposed controller is easily implemented.
Keywords:synchronization  cellular neural networks  distribute delay  Lyapunov method.
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