Adaptive Generalized Synchronization of Drive-Response Neural Networks with Time-Varying Delay  

作　　者：Lirong Zhu Lirong Zhu(Chengyi University College, Jimei University, Xiamen, China)

机构地区：[1]Chengyi University College, Jimei University, Xiamen, China

出　　处：《Applied Mathematics》2022年第1期19-26,共8页应用数学（英文）

摘　　要：This paper studies the generalized synchronization of a class of drive-response neural networks with time-varying delay. When the topological structures of the drive-response neural networks are known, by designing an appropriate nonlinear adaptive controller, the generalized synchronization of these two networks is obtained based on Lyapunov stability theory and LaSalle’s invariance principle.This paper studies the generalized synchronization of a class of drive-response neural networks with time-varying delay. When the topological structures of the drive-response neural networks are known, by designing an appropriate nonlinear adaptive controller, the generalized synchronization of these two networks is obtained based on Lyapunov stability theory and LaSalle’s invariance principle.

关 键 词：Generalized Synchronization Drive-Response Neural Network Time-Varying Delay Adaptive Controller 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]