Adaptive Synchronization Analysis of Memristive Cohen-Grossberg Inertial Neural Networks with Time Delays
Ling Zhang, Jian Xiao, Peng Wang · 2019
In recent years, the research of neural networks has received extensive attention from academia community, especially the synchronization of neural network. This article discusses the adaptive synchronization issue of delayed memristive Cohen-Grossberg inertial neural networks. Firstly, a novel adaptive controller is constructed to realize the synchronization; then, the adaptive synchronization conditions of memristive Cohen-Grossberg inertial neural network with time delays are presented by using inequality technique and invariant principle. Finally, corresponding simulation results are given to show the effectiveness of the proposed results.