trinh-exponentialstabilization-2010.pdf (543.21 kB)
Download fileExponential stabilization of neural networks with various activation functions and mixed time-varying delays
This paper presents some results on the global exponential stabilization for neural networks with various activation functions and time-varying continuously distributed delays. Based on augmented time-varying Lyapunov-Krasovskii functionals, new delay-dependent conditions for the global exponential stabilization are obtained in terms of linear matrix inequalities. A numerical example is given to illustrate the feasibility of our results.
History
Journal
IEEE transactions on neural networksVolume
21Issue
7Pagination
1180 - 1184Publisher
IEEELocation
Piscataway, N.J.Publisher DOI
ISSN
1045-9227eISSN
1941-0093Language
engNotes
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C1 Refereed article in a scholarly journalCopyright notice
2010, IEEEUsage metrics
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Categories
Keywords
linear matrix inequalitieslyapunov functionmixed delayneural networksstabilizationScience & TechnologyTechnologyComputer Science, Artificial IntelligenceComputer Science, Hardware & ArchitectureComputer Science, Theory & MethodsEngineering, Electrical & ElectronicComputer ScienceEngineeringGLOBAL STABILITY-CRITERIONROBUST STABILITYDISCRETESYSTEMS