摘要
主要研究一类带有马尔可夫跳跃并具有模式依赖的时滞离散神经网络的鲁棒指数稳定性问题,基于李雅普诺夫稳定性理论和线性矩阵不等式知识,得到了系统稳定的条件.
The robust exponential stabilization is Studied for a class of discrete - time Markovian jumping neural networks with mode - dependent time delays. Based on Lyapunov stability theory and LMI, delay - dependent criteria are derived to ensure the robust exponential stability in the mean square for the addressed system.
出处
《西安文理学院学报（自然科学版）》
2012年第4期71-74,共4页
Journal of Xi’an University(Natural Science Edition)
基金
安徽省青年人才基金项目(2010SQRL196)
阜阳师范学院校级自然科学基金项目(2011FSKJ14)
关键词
马尔可夫跳跃神经网络
离散时滞系统
鲁棒指数稳定性
时滞依赖
Markovian jumping neural networks
discrete - time system
robust exponentialstabilization
delay dependence
