学术
国际标准刊号：ISSN 1001-9847
国内统一刊号：CN 42-1184
摘 要:
利用Liapunov函数方法，结合积分不等式技巧。分析了时滞细胞神经网络的平衡点存在的唯一性和全局指数稳定性。保证时滞细胞神经网络全局指数稳定的一个新的充分判据被得到。所得判据比已有文献具有更少的限制，为实际应用提供了方便。[著者文摘]
文章出处:
《应用数学》-2006年19卷3期 -525-530页
Mathematica Applicata
文献标识码:
A
文章编号:
1001-9847（2006）03-0525-06
[参考文献]
Global Exponential Stability of Cellular Neural Networks with Delay
ZHAO Wei-rui （1. Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, China ; 2. Department of Mathematics , Wuhan University of Technology , Wuhan 430070, China ）
Abstract:
Employing Lyapunov functional and the technique of integral inequality, the paper presented a new theorem to judge the global exponential stability of cellular neural networks with time delay. A comparison between our results and the previous results admits that our results establish a new set of stability criteria for delayed cellular neural networks. Those conditions are less restrictive than those given in the earlier references.[著者文摘]
Key words:
Cellular neural networks; Global exponential stability; Delay; Equilibrium point
收稿日期: 2005-10-28
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