New Delay-Dependent Stability Criteria for Neural Networks With Time-Varying Delay
New Delay-Dependent Stability Criteria for Neural Networks With Time-Varying Delay
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DOI：
10.1109/tnn.2006.888373
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发表时间：
2007
影响因子：
--
通讯作者：
Yong He;Guoping Liu;D. Rees
中科院分区：
文献类型：
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作者：
Yong He;Guoping Liu;D. Rees
本文提出了一种分析具有时变时滞神经网络稳定性的新方法。在估计李雅普诺夫泛函导数的上界和引入新的自由权矩阵时，考虑了以往方法中忽略的附加有用项，建立了一些保守性较低的时滞相关稳定性判据.数值算例验证了该方法的有效性和优越性
In this letter, a new method is proposed for stability analysis of neural networks (NNs) with a time-varying delay. Some less conservative delay-dependent stability criteria are established by considering the additional useful terms, which were ignored in previous methods, when estimating the upper bound of the derivative of Lyapunov functionals and introducing the new free-weighting matrices. Numerical examples are given to demonstrate the effectiveness and the benefits of the proposed method