中文摘要：

利用李雅普诺夫泛函方法和线性矩阵不等式技巧研究了具有变时滞和马尔可夫跳跃参数的静态神经网络的全局指数稳定性，给出了一个判断全局指数稳定性的简洁易行的代数判据。

英文摘要：

By using the Lyapunov-Krasovskii functional theory and the hnear matrix inequality （LMI） approach, the global exponential stability of static neural network models with time-varying delays and Markovian jumping parameters was studied. A criterion of the global exponential stability was derived.