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

dc.authorscopusid 7404651584
dc.contributor.author Singh, Vimal
dc.contributor.other Department of Mechatronics Engineering
dc.date.accessioned 2024-07-05T14:33:48Z
dc.date.available 2024-07-05T14:33:48Z
dc.date.issued 2007
dc.department Atılım University en_US
dc.department-temp Atilim Univ, Dept Elect Elect Engn, TR-06836 Ankara, Turkey en_US
dc.description.abstract Sufficient 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.citationcount 8
dc.identifier.doi 10.1016/j.chaos.2005.11.006
dc.identifier.endpage 616 en_US
dc.identifier.issn 0960-0779
dc.identifier.issn 1873-2887
dc.identifier.issue 2 en_US
dc.identifier.scopus 2-s2.0-33749557213
dc.identifier.startpage 609 en_US
dc.identifier.uri https://doi.org/10.1016/j.chaos.2005.11.006
dc.identifier.uri https://hdl.handle.net/20.500.14411/956
dc.identifier.volume 32 en_US
dc.identifier.wos WOS:000242759600040
dc.identifier.wosquality Q1
dc.institutionauthor Sıngh, Vımal
dc.language.iso en en_US
dc.publisher Pergamon-elsevier Science Ltd en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 7
dc.subject [No Keyword Available] en_US
dc.title Simplified Approach To the Exponential Stability of Delayed Neural Networks With Time Varying Delays en_US
dc.type Article en_US
dc.wos.citedbyCount 8
dspace.entity.type Publication
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