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

作　　者：郭龄玉 刘宝生 

机构地区：[1]上海师范大学数学系,上海

出　　处：《应用数学进展》2022年第9期6827-6834,共8页Advances in Applied Mathematics

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。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.

关 键 词：时滞神经网络 同步 Lyapunov-Lasall原理 自适应控制 时变延迟 

分 类 号：O175[理学—数学]