Delay-range-dependent stability for fuzzy BAM neural networks with time-varying delays

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dc.contributor.authorLiu, B.
dc.contributor.authorShi, P.
dc.date.issued2009
dc.description.abstractThis Letter considers the problem of delay-range-dependent stability for fuzzy bi-directional associative memory (BAM) neural networks with time-varying interval delays. Based on Lyapunov-Krasovskii theory, the delay-range-dependent stability criteria are derived in terms of linear matrix inequalities (LMIs). By constructing new Lyapunov-Krasovskii functional, stability conditions are dependent on the upper and lower bounds of the delays, which is made possible by using some advanced techniques for achieving delay dependence. A numerical example is given to illustrate the effectiveness of the proposed method. © 2009 Elsevier B.V. All rights reserved.
dc.description.statementofresponsibilityBin Liu, Peng Shi
dc.identifier.citationPhysics Letters A: General Physics, Nonlinear Science, Statistical Physics, Atomic, Molecular and Cluster Physics, Plasma and Fluid Physics, Condensed Matter, Cross-disciplinary Physics, Biological Physics, Nanosciences, Quantum Physics, 2009; 373(21):1830-1838
dc.identifier.doi10.1016/j.physleta.2009.03.044
dc.identifier.issn0375-9601
dc.identifier.issn1873-2429
dc.identifier.orcidShi, P. [0000-0001-6295-0405] [0000-0001-8218-586X] [0000-0002-0864-552X] [0000-0002-1358-2367] [0000-0002-5312-5435]
dc.identifier.urihttp://hdl.handle.net/2440/83526
dc.language.isoen
dc.publisherElsevier Science BV
dc.rights© 2009 Elsevier B.V. All rights reserved.
dc.source.urihttps://doi.org/10.1016/j.physleta.2009.03.044
dc.subjectBAM neural networks
dc.subjectFuzzy systems
dc.subjectInterval delays
dc.subjectLMIs
dc.subjectStability analysis
dc.titleDelay-range-dependent stability for fuzzy BAM neural networks with time-varying delays
dc.typeJournal article
pubs.publication-statusPublished

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