New sufficient criteria for global robust stability of neural networks with multiple time delays
Yükleniyor...
Dosyalar
Tarih
2012
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Işık University Press
Erişim Hakkı
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivs 3.0 United States
Attribution-NonCommercial-NoDerivs 3.0 United States
Özet
In this paper, we study global robust asymptotic stability of the equilibrium point for neural networks with multiple time delays. By employing suitable Lyapunov functionals, we derive a set of delay independent sufficient conditions for global robust asymptotic stability of this class of neural networks. Some examples are constructed to compare the reported results with the related existing results. This comparison proves that our results establish a new set of robust stability criteria for delayed neural networks. It is also demonstrated that the reported results can be easily verified as they can be expressed in terms of the network parameters only.
Açıklama
Anahtar Kelimeler
Neural networks, Robust stability, Delayed systems, Lyapunov functionals, Interval matrices
Kaynak
TWMS Journal Of Applied And Engineering Mathematics
WoS Q Değeri
N/A
Scopus Q Değeri
Cilt
2
Sayı
1
Künye
Yücel, E. & Arık, S. (2012). New sufficient criteria for global robust stability of neural networks with multiple time delays. TWMS Journal Of Applied And Engineering Mathematics, 2(1), 1-18.
