中文摘要：

研究了一类变时滞区间细胞神经网络的全局渐近鲁棒稳定性．基于非负矩阵理论和Lyapunov-Razumikhin分析方法，得到了变时滞区间细胞神经网络全局渐近鲁棒稳定的一个充分条件，该条件与时滞参数无关且易于验证。理论分析和数值例子表明所得条件推广了已有文献中得到的两个相应的结果，是对区间神经网络鲁棒稳定性研究的有效补充．数值例子和相应的计算机仿真验证了所得结果的有效性．

英文摘要：

The global asymptotical robust stability of neural networks with time-varying delays is investigated. Based on nonnegative matrix theory and Lyapunov-Razumikhin technique, a sufficient condition for global asymptotical robust stability is given, which is independent of time delays and can be verified easily. Theoretical analysis and numerical examples show that the obtained condition generalizes two corresponding results derived in the literatures, and complements the results concerning the robust stability research of neural networks effectively. A numerical example and the corresponding computer simulation are presented to verify the effectiveness of the obtained result.