Global Exponential Stability and Existence of Periodic Solution of Impulsive Cohen-Grossberg Neural Networks with Distributed Delays on Time Scales

摘要

On time scales, by using the continuation theorem of coincidence degree theory, M-matrix theory and constructing some suitable Lyapunov functions, some sufficient conditions are obtained for the existence and exponential stability of periodic solutions of impulsive Cohen-Grossberg neural networks with distributed delays, which are new and complement of previously known results. Finally, an example is given to illustrate the effectiveness of our main results.