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首页> 外文期刊>Journal of Mathematical Analysis and Applications >Novel global stability criteria for high-order Hopfield-type neural networks with time-varying delays
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Novel global stability criteria for high-order Hopfield-type neural networks with time-varying delays

机译:具有时变时滞的高阶Hopfield型神经网络的新型全局稳定性准则

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摘要

This paper discusses a generalized model of high-order Hopfield-type neural networks with time-varying delays. Some novel global stability criteria of the system is derived by using Lyapunov method, linear matrix inequality (LMI) and analytic technique. The LMI-based criteria obtained here are computationally more flexible and more generic than many other existing criteria. A numerical example is given to illustrate our result.
机译:本文讨论了具有时变时滞的高阶Hopfield型神经网络的广义模型。利用Lyapunov方法,线性矩阵不等式(LMI)和解析技术,得出了系统的一些新的全局稳定性准则。与许多其他现有标准相比,此处获得的基于LMI的标准在计算上更灵活,更通用。数值例子说明了我们的结果。

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