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具有leakage时滞的随机T-S模糊神经网络的稳定性
引用本文:李哲,徐瑞. 具有leakage时滞的随机T-S模糊神经网络的稳定性[J]. 北华大学学报(自然科学版), 2012, 13(3): 259-266
作者姓名:李哲  徐瑞
作者单位:军械工程学院基础部,河北石家庄,050003;军械工程学院基础部,河北石家庄,050003
摘    要:研究了一类具有leakage时滞的随机T-S模糊神经网络的稳定性,通过构造一个新的Lyapunov-Krasovskii泛函,并应用It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:leakage时滞  T-S模糊  随机神经网络  稳定性

Stability of Stochastic T-S Fuzzy Neural Networks with Time Delays in the Leakage Terms
LI Zhe,XU Rui. Stability of Stochastic T-S Fuzzy Neural Networks with Time Delays in the Leakage Terms[J]. Journal of Beihua University(Natural Science), 2012, 13(3): 259-266
Authors:LI Zhe  XU Rui
Affiliation:(Department of Basic Courses,Ordnance Engineering College,Shijiazhuang 050003,China)
Abstract:The stability of a class of stochastic T-S fuzzy neural networks with time delays in the leakage terms is investigated.By using the Lyapunov-Krasovskii functional 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:leakage delay  T-S fuzzy  stochastic neural network  stability
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