Simplified Approach To the Exponential Stability of Delayed Neural Networks With Time Varying Delays

dc.authorscopusid7404651584
dc.contributor.authorSingh, Vimal
dc.contributor.otherDepartment of Mechatronics Engineering
dc.date.accessioned2024-07-05T14:33:48Z
dc.date.available2024-07-05T14:33:48Z
dc.date.issued2007
dc.departmentAtılım Universityen_US
dc.department-tempAtilim Univ, Dept Elect Elect Engn, TR-06836 Ankara, Turkeyen_US
dc.description.abstractSufficient conditions in the form of linear matrix inequalities for the exponential stability of the equilibrium point for delayed neural networks with time varying delays are presented. The conditions turn out to be greatly simplified versions of the exponential stability results previously reported by Yucel and Arik. A distinct feature of the present criteria is that they are free of the degree of exponential stability. This feature makes the criteria computationally very attractive. (c) 2005 Elsevier Ltd. All rights reserved.en_US
dc.identifier.citationcount8
dc.identifier.doi10.1016/j.chaos.2005.11.006
dc.identifier.endpage616en_US
dc.identifier.issn0960-0779
dc.identifier.issn1873-2887
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-33749557213
dc.identifier.startpage609en_US
dc.identifier.urihttps://doi.org/10.1016/j.chaos.2005.11.006
dc.identifier.urihttps://hdl.handle.net/20.500.14411/956
dc.identifier.volume32en_US
dc.identifier.wosWOS:000242759600040
dc.identifier.wosqualityQ1
dc.institutionauthorSıngh, Vımal
dc.language.isoenen_US
dc.publisherPergamon-elsevier Science Ltden_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.scopus.citedbyCount7
dc.subject[No Keyword Available]en_US
dc.titleSimplified Approach To the Exponential Stability of Delayed Neural Networks With Time Varying Delaysen_US
dc.typeArticleen_US
dc.wos.citedbyCount8
dspace.entity.typePublication
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