Antiperiodic Solutions to Impulsive Cohen-Grossberg Neural Networks with Delays on Time Scales
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-09
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Wang, Yanqin& Han, Maoan. 2014. Antiperiodic Solutions to Impulsive Cohen-Grossberg Neural Networks with Delays on Time Scales. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1013683
Modern Language Association (MLA)
Wang, Yanqin& Han, Maoan. Antiperiodic Solutions to Impulsive Cohen-Grossberg Neural Networks with Delays on Time Scales. Abstract and Applied Analysis No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1013683
American Medical Association (AMA)
Wang, Yanqin& Han, Maoan. Antiperiodic Solutions to Impulsive Cohen-Grossberg Neural Networks with Delays on Time Scales. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1013683
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1013683
