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, issue 1

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 T=R or Z. An example is given to illustrate our feasible results.

Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1155/2014/308768

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wly:jnlaaa:v:2014:y:2014:i:1:n:308768

Access Statistics for this article

More articles in Abstract and Applied Analysis from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().