Global exponential stability of nonresident computer virus models
| dc.contributor.author | Tang, C. | |
| dc.contributor.author | Wu, Yong Hong | |
| dc.date.accessioned | 2017-04-28T13:57:49Z | |
| dc.date.available | 2017-04-28T13:57:49Z | |
| dc.date.created | 2017-04-28T09:06:07Z | |
| dc.date.issued | 2017 | |
| dc.identifier.citation | Tang, C. and Wu, Y.H. 2017. Global exponential stability of nonresident computer virus models. Nonlinear Analysis: Real World Applications. 34: pp. 149-158. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/52177 | |
| dc.identifier.doi | 10.1016/j.nonrwa.2016.08.003 | |
| dc.description.abstract |
© 2016 Elsevier LtdThis paper is concerned with nonresident computer virus models which are defined on the nonnegative real vector space. By using differential inequality technique, we employ a novel argument to show that the virus-free equilibrium is globally exponentially stable, and the exponential convergent rate can be unveiled. Moreover, a numerical simulation is given to demonstrate our theoretical results. | |
| dc.publisher | Pergamon, Elsevier Ltd | |
| dc.title | Global exponential stability of nonresident computer virus models | |
| dc.type | Journal Article | |
| dcterms.source.volume | 34 | |
| dcterms.source.startPage | 149 | |
| dcterms.source.endPage | 158 | |
| dcterms.source.issn | 1468-1218 | |
| dcterms.source.title | Nonlinear Analysis: Real World Applications | |
| curtin.department | Department of Mathematics and Statistics | |
| curtin.accessStatus | Fulltext not available |
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