Almost sure exponential stability of neutral stochastic delayed cellular neural networks
Liqun ZHOU
Guangda HU
摘要：In this paper,almost sure exponential stability of neutral delayed cellular neural networks which are in the noised environment is studied by decomposing the state space to sub-regions in view of the saturation linearity of output functions of neurons of the cellular neural networks.Some algebraic criteria are obtained and easily verified.Some examples are given to illustrate the correctness of the results obtained.
机标关键词：cellular neural networksexponential stabilitystate space
分类号：TP3(计算技术、计算机技术)
资助基金：国家自然科学基金(10571036)Tianjin Municipal Education Commission of China(20070405)
论文发表日期：2008-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：6( 195-200 )
英文信息