Abstract and Applied Analysis

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

Yanqin Wang and Maoan Han

Full-text: Open access

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.

Article information

Source
Abstr. Appl. Anal., Volume 2014, Special Issue (2013), Article ID 308768, 12 pages.

Dates
First available in Project Euclid: 27 February 2015

Permanent link to this document
https://projecteuclid.org/euclid.aaa/1425049080

Digital Object Identifier
doi:10.1155/2014/308768

Mathematical Reviews number (MathSciNet)
MR3232833

Zentralblatt MATH identifier
07022136

Citation

Wang, Yanqin; Han, Maoan. Antiperiodic Solutions to Impulsive Cohen-Grossberg Neural Networks with Delays on Time Scales. Abstr. Appl. Anal. 2014, Special Issue (2013), Article ID 308768, 12 pages. doi:10.1155/2014/308768. https://projecteuclid.org/euclid.aaa/1425049080


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