Antiperiodic Solutions to Impulsive Cohen-Grossberg Neural Networks with Delays on Time Scales
Yanqin Wang, Maoan Han · Abstract and Applied Analysis · 2014
We use the method of coincidence degree and construct suitable Lyapunov functional to investigate the existence and global exponential stability of antiperiodic solutions of impulsive Cohen-Grossberg neural networks with delays on time scales. Our results are new even if the time scale T=R or Z . An example is given to illustrate our feasible results.