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

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  • Yanqin Wang
  • Maoan Han

Abstract

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.

Suggested Citation

  • Yanqin Wang & Maoan Han, 2014. "Antiperiodic Solutions to Impulsive Cohen-Grossberg Neural Networks with Delays on Time Scales," Abstract and Applied Analysis, Hindawi, vol. 2014, pages 1-12, July.
    • Handle: RePEc:hin:jnlaaa:308768
    DOI: 10.1155/2014/308768
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