In this paper we give a uniform approximation of a CNN-Hopfield type impulsive system by means of an IDEPCA approximating system. As a consequence of the uniform approximation, certain properties like boundedness are inherited. We also consider the analysis of a constant coefficients case. These results are novel in the impulsive differential equations frame. Examples are simulated, illustrating the effectiveness of our results.

中文翻译：

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基于[τ，∞）$ [\ tau，\ infty）$的分段常数变元的脉冲Hopfield细胞神经网络的均匀逼近

在本文中，我们通过IDEPCA逼近系统给出CNN-Hopfield型脉冲系统的统一逼近。由于一致逼近的结果，继承了某些属性（如有界性）。我们还考虑对常数系数情况的分析。这些结果在脉冲微分方程框架中是新颖的。通过示例进行仿真，以说明我们的结果的有效性。