混合时滞与非线性控制输入神经网络同步分析  

Synchronization of a Class of Neural Networks Containing Hybrid Delays and Sector Nonlinearity

作　　者：黄优良[1] 

机构地区：[1]韶关学院数学系

出　　处：《贵州大学学报（自然科学版）》2007年第4期352-356,共5页Journal of Guizhou University:Natural Sciences

基　　金：江苏省教育厅自然科学基金(06KJD110206);扬州大学科技创新培育基金(2006CXJ002)资助项目

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。In this paper, the global synchronization of a class of delayed neural networks with time-var- ying 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.

关 键 词：同步 细胞神经网络 时变时滞 分布时滞 LYAPUNOV方法 

分 类 号：O415[理学—理论物理]