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

dc.authorscopusid7404651584
dc.contributor.authorSingh, Vimal
dc.contributor.otherDepartment of Mechatronics Engineering
dc.date.accessioned2024-07-05T14:33:22Z
dc.date.available2024-07-05T14:33:22Z
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 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.citationcount14
dc.identifier.doi10.1016/j.chaos.2006.01.001
dc.identifier.endpage1934en_US
dc.identifier.issn0960-0779
dc.identifier.issn1873-2887
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-33846397144
dc.identifier.startpage1927en_US
dc.identifier.urihttps://doi.org/10.1016/j.chaos.2006.01.001
dc.identifier.urihttps://hdl.handle.net/20.500.14411/925
dc.identifier.volume32en_US
dc.identifier.wosWOS:000244504000035
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.citedbyCount15
dc.subject[No Keyword Available]en_US
dc.titleLmi Approach To the Global Robust Stability of a Larger Class of Neural Networks With Delayen_US
dc.typeArticleen_US
dc.wos.citedbyCount14
dspace.entity.typePublication
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