This paper presents theoretical results on the finite-time synchronization of delayed memristive neural networks (MNNs). Compared with existing ones on finite-time synchronization of discontinuous NNs, we directly regard the MNNs as a switching system, by introducing a novel analysis method, new synchronization criteria are established without employing differential inclusion theory and non-smooth finite time convergence theorem. Finally, we give a numerical example to support the effectiveness of the theoretical results.

中文翻译：

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忆阻性迟发性神经动力学模型的新有限时间同步分析

本文介绍了关于延迟忆阻神经网络（MNN）的有限时间同步的理论结果。与不连续神经网络的有限时间同步的现有方法相比，我们直接将多神经网络作为交换系统，通过引入一种新颖的分析方法，无需采用差分包含理论和非光滑的有限时间收敛定理，建立了新的同步准则。最后，我们给出一个数值例子来支持理论结果的有效性。