Anti-Synchronization Analysis and Pinning Control of Coupled Neural Networks with Multiple Weights

In this paper, the multi-weighted coupled neural networks (MWCNN) models with and without delayed coupling are studied. First, we analyze the anti-synchronization of the proposed network models by using Lyapunov functional method and some inequality techniques, and give some anti-synchronization conditions for MWCNN. In addition, several anti-synchronization criteria are established via the pinning adaptive techniques. Lastly, an example is presented to illustrate the effectiveness and correctness of the results we obtained.