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dc.contributor.authorM'Hamdi, Mohammed Salah
dc.contributor.authorAouiti, Chaouki
dc.contributor.authorTouati, Abderrahmane
dc.contributor.authorAlimi, Adel M.
dc.contributor.authorSnášel, Václav
dc.date.accessioned2017-01-03T07:35:53Z
dc.date.available2017-01-03T07:35:53Z
dc.date.issued2016
dc.identifier.citationActa Mathematica Scientia. 2016, vol. 36, issue 6, p. 1662-1682.cs
dc.identifier.issn0252-9602
dc.identifier.issn1572-9087
dc.identifier.urihttp://hdl.handle.net/10084/116556
dc.description.abstractIn this paper, we prove the existence and the global exponential stability of the unique weighted pseudo almost-periodic solution of shunting inhibitory cellular neural networks with mixed time-varying delays comprising different discrete and distributed time delays. Some sufficient conditions are given for the existence and the global exponential stability of the weighted pseudo almost-periodic solution by employing fixed point theorem and differential inequality techniques. The results of this paper complement the previously known ones. Finally, an illustrative example is given to demonstrate the effectiveness of our results.cs
dc.language.isoencs
dc.publisherElseviercs
dc.relation.ispartofseriesActa Mathematica Scientiacs
dc.relation.urihttp://dx.doi.org/10.1016/S0252-9602(16)30098-4cs
dc.rightsCopyright © 2016 Wuhan Institute of Physics and Mathematics. Published by Elsevier Ltd. All rights reserved.cs
dc.subjectweighted pseudo almost-periodic solutioncs
dc.subjectshunting inhibitory cellular neural networkscs
dc.subjectmixed delayscs
dc.subjectglobal exponential stabilitycs
dc.titleWeighted pseudo almost-periodic solutions of shunting inhibitory cellular neural networks with mixed delayscs
dc.typearticlecs
dc.identifier.doi10.1016/S0252-9602(16)30098-4
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume36cs
dc.description.issue6cs
dc.description.lastpage1682cs
dc.description.firstpage1662cs
dc.identifier.wos000388656500009


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