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dc.contributor.authorXu, Changjin ( )
dc.date.accessioned2023-05-25T13:00:17Z
dc.date.available2023-05-25T13:00:17Z
dc.date.issued2016-01-04
dc.identifier.citationXu, C. (2016). Existence and exponential stability of anti-periodic solutions in cellular neural networks with time-varying delays and impulsive effects. Electronic Journal of Differential Equations, 2016(02), pp. 1-16.en_US
dc.identifier.issn1072-6691
dc.identifier.urihttps://digital.library.txstate.edu/handle/10877/16874
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.en_US
dc.formatText
dc.format.extent14 pages
dc.format.medium1 file (.pdf)
dc.language.isoenen_US
dc.publisherTexas State University, Department of Mathematicsen_US
dc.sourceElectronic Journal of Differential Equations, 2016, San Marcos, Texas: Texas State University and University of North Texas.
dc.subjectCellular neural networken_US
dc.subjectAnti-periodic solutionen_US
dc.subjectImpulseen_US
dc.subjectExponential stabilityen_US
dc.subjectTime-varying delayen_US
dc.titleExistence and exponential stability of anti-periodic solutions in cellular neural networks with time-varying delays and impulsive effectsen_US
dc.typepublishedVersion
txstate.documenttypeArticle
dc.rights.licenseCreative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
dc.description.departmentMathematics


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