带有马尔可夫跳跃并具有模式依赖的时滞离散神经网络的鲁棒指数稳定性分析

摘要

The robust exponential stabilization is Studied for a class of discrete - time Markovian jumping neural networks with mode - dependent time delays. Based on Lyapunov stability theory and LMI, delay - dependent criteria are derived to ensure the robust exponential stability in the mean square for the addressed system.%主要研究一类带有马尔可夫跳跃并具有模式依赖的时滞离散神经网络的鲁棒指数稳定性问题，基于李雅普诺夫稳定性理论和线性矩阵不等式知识，得到了系统稳定的条件．