含分布时滞递归神经网络的一般衰减同步

李洪利艾合麦提·麦麦提阿吉、Ahmadjan Muhammadhaji、Hongli Li

2019应用数学和力学Computer Science被引 1开放获取

摘要

The general decay synchronization (GDS) of a class of recurrent neural networks (RNNs) with general activation functions and distributed delays was studied. By means of suitable LyapunovKrasovskii functionals and useful inequality techniques, some sufficient conditions for the GDS of considered RNNs were established via a type of nonlinear control. An example with numerical simulations illustrates the correctness of the obtained theoretical results.

引用本文（GB/T 7714）

李洪利艾合麦提·麦麦提阿吉, Ahmadjan Muhammadhaji, Hongli Li. 含分布时滞递归神经网络的一般衰减同步[J]. 应用数学和力学, 2019.

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DOI：https://doi.org/10.21656/1000-0887.400127

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