基于自适应控制的变系数积分时滞神经网络的同步
Synchronization of Variable Coefficient Integral Time-Delay Neural Networks Based on Adaptive Control
摘要: 本文研究了一种带有变系数的积分时滞型神经网络模型。 利用泛函微分方程的Lyapunov- Lasall原理，得到了判断基于自适应控制的稳定性依据。最后，通过数值模拟对所得结论进行了验证。
Abstract: In this paper, a variable coefficient integral neural network with time delay is con- sidered. By using Lyapunov-Lasall principle of functional differential equations, we obtain the criterion of stability based on adaptive control. Finally, we verify our conclusion by numerical simulation.
文章引用：郭龄玉, 刘宝生. 基于自适应控制的变系数积分时滞神经网络的同步[J]. 应用数学进展, 2022, 11(9): 6827-6834. https://doi.org/10.12677/AAM.2022.119723

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