Delay-dependent stability criterion of a class of neural networks with time-varying delay

机译：一类时变时滞神经网络的时滞相关稳定性判据

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A new Lyapunov-Krasovskii functional is constructed for a class of neural networks with time-varying delay, and some free-weighting matrices and S-procedure are employed to derive the delay-dependent stability criterion. The derived criterion is formulated in terms of linear matrix inequalities (LMIs). A numerical example is given to demonstrate the effectiveness and applicability of the criterion.

机译：针对一类具有时变时滞的神经网络，构造了新的Lyapunov-Krasovskii泛函，并利用一些自由加权矩阵和S过程来推导时延相关的稳定性准则。导出的标准是根据线性矩阵不等式（LMI）制定的。数值例子说明了该准则的有效性和适用性。

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来源
《Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on》||P.3038-3041|共4页
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Yang Bin; Liu Shubo; Wang Jincheng; Jin Jing;
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中图分类工业技术;
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Delay-dependent stability; Neural networks; delay; linear matrix inequalities; Delay-dependent stability; Neural networks; delay; linear matrix inequalities;

机译：时滞相关稳定性;神经网络;时滞;线性矩阵不等式;时滞相关稳定性;神经网络;时滞;线性矩阵不等式;

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Delay-dependent stability criterion of a class of neural networks with time-varying delay

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