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Please use this identifier to cite or link to this item: http://tainguyenso.vnu.edu.vn/jspui/handle/123456789/13544

Title: Global exponential stability of a class of neural networks with unbounded delays
Authors: Loan T.T.
Tuan D.A.
Keywords: 
Issue Date: 2008
Publisher: Ukrainian Mathematical Journal
Citation: Volume 60, Issue 10, Page 1633-1649
Abstract: In this paper, the global exponential stability of a class of neural networks is investigated. The neural networks contain variable and unbounded delays. By constructing a suitable Lyapunov function and using the technique of matrix analysis, we obtain some new sufficient conditions for global exponential stability. © 2008 Springer Science+Business Media, Inc.
URI: http://tainguyenso.vnu.edu.vn/jspui/handle/123456789/13544
ISSN: 415995
Appears in Collections:New - Articles of Universities of Vietnam from Scopus

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