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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
【摘要】 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.
【Abstract】 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 CohenGrossberg neural networks.It is worth mentioning that the obtained criterion is convenient for using Computer Matlab LMI toolbox.
- 【文献出处】 西南师范大学学报(自然科学版) ,Journal of Southwest China Normal University(Natural Science Edition) , 编辑部邮箱 ,2015年05期
- 【分类号】O211.62
- 【被引频次】5
- 【下载频次】48