反馈型CNN解的稳定性  

Stability of CNN With Feedback

作　　者：王毅[1] 黄元清[2] 

机构地区：[1]成都电子科技大学应用数学系,610054 [2]四川轻化工学院电子工程系,自贡643033

出　　处：《电子科技大学学报》1999年第2期211-215,共5页Journal of University of Electronic Science and Technology of China

基　　金：国家自然科学基金!69871005

摘　　要：研究了具有时滞的反馈型细胞神经网络，利用李雅普诺夫函数、常数交易法以及不等式分析技巧，证明了具有时滞的反馈型细胞神经网络的解的有界性，同时给出了任意解全局指数稳定和渐近稳定的充分条件。In this paper, the cellular neural networks with feedback and delay is studied. By making use of the Lyapunov function, the method variation of parameters is given combining with the trick of inequality analysis. The bounded property of the solution and the asymptotic property of solution for the cellular neural networks with.feedback and delay are proved. The sufficient condition of stability of solution for cellular neural networks with feedback of delay is also discussed.Keyworks:cellular neural netWorks; delay; Lyapunov function, Stability

关 键 词：细胞神经网络 时滞 稳定性 反馈型CNN解 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]