Existence and exponential stability of anti-periodic solutions in cellular neural networks with time-varying delays and impulsive effects

dc.contributor.authorXu, Changjin
dc.date.accessioned2023-05-25T13:00:17Z
dc.date.available2023-05-25T13:00:17Z
dc.date.issued2016-01-04
dc.description.abstractIn this article we study a cellular neural network with impulsive effects. By using differential inequality techniques, we obtain verifiable criteria on the existence and exponential stability of anti-periodic solutions. An example is included to illustrate the feasibility and of our main results.
dc.description.departmentMathematics
dc.formatText
dc.format.extent14 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationXu, C. (2016). Existence and exponential stability of anti-periodic solutions in cellular neural networks with time-varying delays and impulsive effects. <i>Electronic Journal of Differential Equations, 2016</i>(02), pp. 1-16.
dc.identifier.issn1072-6691
dc.identifier.urihttps://hdl.handle.net/10877/16874
dc.language.isoen
dc.publisherTexas State University, Department of Mathematics
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceElectronic Journal of Differential Equations, 2016, San Marcos, Texas: Texas State University and University of North Texas.
dc.subjectCellular neural network
dc.subjectAnti-periodic solution
dc.subjectImpulse
dc.subjectExponential stability
dc.subjectTime-varying delay
dc.titleExistence and exponential stability of anti-periodic solutions in cellular neural networks with time-varying delays and impulsive effects
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
xu.pdf
Size:
269.02 KB
Format:
Adobe Portable Document Format
Description:

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.54 KB
Format:
Item-specific license agreed upon to submission
Description: