Adaptive Synchronization of Memristor-Based Neural Networks with Time-Varying Delays.
In this paper, adaptive synchronization of memristor-based neural networks (MNNs) with time-varying delays is investigated. The dynamical analysis here employs results from the theory of differential equations with discontinuous right-hand sides as introduced by Filippov. Sufficient conditions for the global synchronization of MNNs are established with a general adaptive controller. The update gain of the controller can be adjusted to control the synchronization speed. The obtained results complement and improve the previously known results. Finally, numerical simulations are carried out to demonstrate the effectiveness of the obtained results.
Leimin
L
Wang
Yi
Y
Shen
Quan
Q
Yin
Guodong
G
Zhang
D000465:Algorithms; D003198:Computer Simulation; D006801:Humans; D008568:Memory / Q000502:physiology*; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology*; D017711:Nonlinear Dynamics; D013997:Time Factors