Existence and stability of anti-periodic solutions for an impulsive neural networks on time scales

摘要

By using the method of coincidence degree and Lyapunov functional, some criteria are established for the existence and exponential stability of anti-periodic solutions of impulsive Cohen-Grossberg neural networks on time scales. Finally, an example and numerical simulations are presented to illustrate the feasibility and effectiveness of the results.