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变连接权细胞神经网络模型的稳定性分析
引用本文:刘艳青,唐万生.变连接权细胞神经网络模型的稳定性分析[J].天津大学学报(自然科学与工程技术版),2005,38(4):369-371.
作者姓名:刘艳青  唐万生
作者单位:天津大学系统工程研究所,天津大学系统工程研究所 天津300072,天津大学理学院刘徽应用数学中心,天津300072,天津300072
基金项目:国家自然科学基金资助项目(70171004),刘徽应用数学中心资助项目
摘    要:旨在研究一个带时滞的变连接权细胞神经网络模型的稳定性.运用Lyapunov函数方法、代数不等式和有关微分方程稳定性理论,给出了该模型稳定性的判据,并举例说明该判据的可行性.变连接权细胞神经网络模型的稳定性研究目前还是一个较新的研究领域,故所得到的稳定性判据在理论和应用上都具有一定的指导意义.

关 键 词:变连接权  变时滞  细胞神经网络  渐近稳定性  指数稳定性
文章编号:0493-2137(2005)04-0369-03
修稿时间:2003年11月18

Stability Analysis of Cellular Neural Networks with Time-Varying Connection Weights
LIU Yan-qing.Stability Analysis of Cellular Neural Networks with Time-Varying Connection Weights[J].Journal of Tianjin University(Science and Technology),2005,38(4):369-371.
Authors:LIU Yan-qing
Institution:LIU Yan-qing~
Abstract:The stability of cellular neural networks with time-varying connection weights is studied. By applying a Lyapunov function and an algebric inequality,and citing conclusions concerning on stability of differen-(tial equations) in literature,this paper gives the equation criteria for guaranteeing the stability and exponential stability of cellular neural networks with time-varying connection weights .An example is given to illustrate the feasibility of our main results. At present, the stability of model with variable connection weights is a new research field. Therefore, the obtained results are useful in the design and application of neural networks.
Keywords:time-varying connection weights  time-varying delay  cellular neural networks  asymptotical (stability)  exponential stability
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