Lmi Approach To the Global Robust Stability of a Larger Class of Neural Networks With Delay

dc.authorscopusid 7404651584
dc.contributor.author Singh, Vimal
dc.contributor.other Department of Mechatronics Engineering
dc.date.accessioned 2024-07-05T14:33:22Z
dc.date.available 2024-07-05T14:33:22Z
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 inequality for the uniqueness and global asymptotic stability of the equilibrium point of a large class of uncertain neural networks with delay are presented. The conditions are based on norm-bounded uncertainties. An example is given to show the effectiveness of the obtained results. A comparison is made between the present approach and an earlier approach due to Lu, Rong and Chen. An error is corrected in an earlier publication. (c) 2006 Elsevier Ltd. All rights reserved. en_US
dc.identifier.citationcount 14
dc.identifier.doi 10.1016/j.chaos.2006.01.001
dc.identifier.endpage 1934 en_US
dc.identifier.issn 0960-0779
dc.identifier.issn 1873-2887
dc.identifier.issue 5 en_US
dc.identifier.scopus 2-s2.0-33846397144
dc.identifier.startpage 1927 en_US
dc.identifier.uri https://doi.org/10.1016/j.chaos.2006.01.001
dc.identifier.uri https://hdl.handle.net/20.500.14411/925
dc.identifier.volume 32 en_US
dc.identifier.wos WOS:000244504000035
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 15
dc.subject [No Keyword Available] en_US
dc.title Lmi Approach To the Global Robust Stability of a Larger Class of Neural Networks With Delay en_US
dc.type Article en_US
dc.wos.citedbyCount 14
dspace.entity.type Publication
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