一类多时变时滞神经网络新的全局指数稳定性A New Global Exponential Stability for a Class of Time-varying Delay of Neural Network
黄志华;刘玉军;
摘要(Abstract)：
研究一类多时变时滞神经网络全局指数稳定性的问题,通过构造新的Lyapunov-Krasovskii泛函,通过一定的假设和不等式运用,针对系统在多种不同条件的情形下,提出了相应的几个网络全局指数稳定性判据,这些判据以线性矩阵不等式的形式给出,并且研究了指数收敛速率和网络参数之间的关系。
关键词(KeyWords)： 时变时滞;全局指数稳定;Lyapunov-Krasovskii泛函
基金项目(Foundation): 嘉应学院联合自然科学研究项目(2012KJA04)
作者(Authors): 黄志华;刘玉军;
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