T-S模糊马尔可夫跳跃时滞Cohen-Grossberg神经网络的几乎必然指数稳定性

On Almost Sure Exponential Stability of T-S Fuzzy Markovian Jumping Delayed Cohen-Grossberg Neural Networks

运用Sobolev空间W1,p0(Ω)上的变分方法、伊藤公式、Dynkin公式、半鞅收敛定理以及线性矩阵不等式技巧给出了T-S模糊马尔可夫跳跃时滞反应扩散Cohen-Grossberg神经网络的几乎必然指数稳定的充分性条件判据.该判据便于运用计算机LMI工具箱,因此更具可操作性和实用性.

In this paper ,the authors has employed some variational methods in W1 ,p0 （Ω） , Ito formula , Dynkin formula ,the semi-martingale convergence theorem and LMI technique to obtain the criterion of the almost sure exponential robust stability for T-S fuzzy markovian jumping delayed reaction-diffusion Cohen-Grossberg neural networks .It is worth mentioning that the obtained criterion is convenient for using Com-puter Matlab LMI toolbox .