含连续分布时滞的神经网络的耗散性分析

Dissipativity of Neural Networks with Continuously Distributed Delays

研究了一类具有连续分布时滞的神经网络的耗散性和全局吸引性.利用非负矩阵和微分不等式技巧,在一般的条件下,获得了关于此类系统解的耗散性的新判据,并估计出超球形全局吸引集的边界.

The dissipativity and global attracting set of a general class of neural networks with continuously distributed delays was studied by using nonnegative matrix and differential inequality technique.Some new results for dissipativity and global attracting set of these models were derived.A new decision gist of this set＇s dissipativity is given and the boundary of beyond-global attracting set is estimated.