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具有leakage时滞的随机马尔科夫跳变神经网络的稳定性
引用本文:李哲,李彦路,耿立杰. 具有leakage时滞的随机马尔科夫跳变神经网络的稳定性[J]. 军械工程学院学报, 2012, 0(6): 73-76
作者姓名:李哲  李彦路  耿立杰
作者单位:军械工程学院基础部,河北石家庄050003
基金项目:国家自然科学基金项目(10671209)
摘    要:研究一类具有leakage时滞的随机马尔科夫跳变神经网络的稳定性,通过构造一个新的Lyapunov-Kra—sovskii泛函,并应用It6公式、随机不等式技术,得到了基于线性矩阵不等式(LMI)的均方意义下的全局稳定性判定条件.

关 键 词:稳定性  随机神经网络  马尔科夫跳变  leakage时滞

Stability of Discrete-Time Stochastic Neural Networks with Markovian Jumping and Time Delay in the Leakage Terms
LI Zhe,LI Yan-lu,GENG Li-jie. Stability of Discrete-Time Stochastic Neural Networks with Markovian Jumping and Time Delay in the Leakage Terms[J]. Journal of Ordnance Engineering College, 2012, 0(6): 73-76
Authors:LI Zhe  LI Yan-lu  GENG Li-jie
Affiliation:(Department of Basic Courses, Ordnance Engineering College, Shijiazhuang 050003)
Abstract:In this paper,a class of discrete-time stochastic neural networks with Markovian jump- ing and time delay in the leakage terms is investigated. By using the Lyapunov-Krasovskii func- tional and linear matrix inequality(LMI)approach, sufficient conditions are derived to ensure the global asymptotic stability in mean square for an equilibrium point of the neural networks.
Keywords:stability  stochastic neural network  Markovian jumping  leakage delay
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