This paper aims to investigate the general decay synchronization analysis of discontinuous fuzzy neutral‐type neural networks. Under the framework of Filippov solutions, based on functional differential inclusions theory, inequality technique and by constructing a modified delay‐dependent Lyapunov‐Krasovskii functional, some new delay‐dependent criteria are provided to guarantee the general decay synchronization via the effective nonlinear feedback controller. The neural network model considered is more generalized, some previous fuzzy neural networks can be regard as the special cases. Moreover, some recent results on the delay‐independent criteria ensuring the general decay synchronization can also be extended and concluded. These can be seen from the given corollaries and remarks which are provided to make the comparisons and show the advantages. Finally, some numerical examples and simulations are provided to illustrate the correctness.

中文翻译：

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具有时变时滞的不连续模糊中立型神经网络的一般衰减同步的时滞相关准则

本文旨在研究不连续模糊中立型神经网络的一般衰减同步分析。在Filippov解的框架下，基于泛函微分包含理论，不等式技术，并通过构造改进的依赖于延迟的Lyapunov-Krasovskii泛函，提供了一些新的依赖于延迟的准则，以通过有效的非线性反馈控制器来保证一般的衰减同步。所考虑的神经网络模型更为通用，可以将某些先前的模糊神经网络视为特例。此外，关于延迟独立标准的一些最新结果也可以扩展并得出结论，以确保一般的衰减同步。这些可以从给定的推论和评论中看出，这些推论和评论被提供用来进行比较并显示其优势。最后，提供了一些数值示例和仿真来说明其正确性。