LMI CONDITIONS FOR GLOBAL ASYMPTOTIC STABILITY OF NEURAL NETWORKS WITH DISCRETE AND DISTRIBUTED DELAYS
LMI CONDITIONS FOR GLOBAL ASYMPTOTIC STABILITY OF NEURAL NETWORKS WITH DISCRETE AND DISTRIBUTED DELAYS
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发表时间：
2008
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通讯作者：
Li-hua Xia;Maohui Xia;Lechun Liu
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作者：
Li-hua Xia;Maohui Xia;Lechun Liu
近年来，细胞神经网络的稳定性问题吸引了众多的研究者，各种不同类型的神经网络都得到了广泛的研究。本文给出了一类具有时变时滞的神经网络稳定性的充分条件，这些条件是以线性矩阵不等式（LMI）的形式表示的。最后给出一个例子说明所得理论结果的适用性。
In recently years, the stability of Cellular Neural networks has attracted many researchers, and many different types of neural networks have been widely investi- gated. In this paper, sufficient conditions of stability for a class of neural networks with time-varying delay are developed, which are in terms of linear matrix inequalities (LMIs). An example is given to illustrate the applicability of the theoretic results obtained.