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On the Dynamics in High-Order Cellular Neural Networks with Time-Varying Delays

机译:在具有时变延迟的高阶蜂窝神经网络中的动态

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摘要

In this paper, the uniform boundedness and exponential stability analysis problems are considered for a class of high-order neural networks with time-varying delays. Without assuming the boundedness on the activation functions, some sufficient conditions are derived for checking the existence, uniqueness and exponential stability of equilibrium point and uniform boundedness for this system by using Brouwer’s fixed point and employing analysis technique. It is believed that these results are significant and useful for the design and applications of HCNNs. Finally, two examples with numerical simulation are given to show the effectiveness of the proposed method and results.
机译:在本文中,一类具有时变延迟的一类高阶神经网络的均匀界限和指数稳定性分析问题。 在不假设激活功能上的有界性的情况下,通过使用Brouwer的定点和采用分析技术来导出用于检查该系统的平衡点的存在,唯一性和指数稳定性的一些足够的条件。 据信这些结果对于HCNN的设计和应用是显着的并且有用。 最后,给出了具有数值模拟的两个例子来显示所提出的方法和结果的有效性。

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