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Abstract and Applied Analysis
Volume 2014, Article ID 308768, 12 pages
Research Article

Antiperiodic Solutions to Impulsive Cohen-Grossberg Neural Networks with Delays on Time Scales

1Applied Mathematics Department, Shanghai Normal University, Shanghai 200234, China
2School of Mathematics and Physics, Changzhou University, Changzhou, Jiangsu 213164, China

Received 2 March 2014; Accepted 22 June 2014; Published 9 July 2014

Academic Editor: Qi-Ru Wang

Copyright © 2014 Yanqin Wang and Maoan Han. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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 or . An example is given to illustrate our feasible results.