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

Yanqin Wang and Maoan Han

Abstract and Applied Analysis, 2014, vol. 2014, 1-12

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.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlaaa:308768

DOI: 10.1155/2014/308768

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