多时滞区间神经网路的全局鲁棒稳定性分析

Global Robust Stability of Multi-delayed Interval Neural Networks

本文利用Lyapunov—Krasovskii稳定性定理和线性矩阵不等式技术，得到了多时滞区间神经网路全局鲁棒稳定性的一个新的稳定性规则。该规则推广了最近文献中的一些结果，并通过数值仿真证实了结果的正确性。

Based on the Lyapunov-Krasovskii stability theory for functional differential equations and the linear matrix inequality （LMI） technique, a new criterion for interval neural networks with multiple time-varying delays is derived to guarantee global robust asymptotic stability. The main result is generalizations of some recent results reported in the literature.