Adaptive Generalized Synchronization of Drive-Response Neural Networks with Time-Varying Delay
Lirong Zhu · Applied Mathematics · 2022
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.