Equilibrium and stability analysis of delayed neural networks under parameter uncertainties
Yükleniyor...
Dosyalar
Tarih
2012-02-15
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Science Inc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper proposes new results for the existence, uniqueness and global asymptotic stability of the equilibrium point for neural networks with multiple time delays under parameter uncertainties. By using Lyapunov stability theorem and applying homeomorphism mapping theorem, new delay-independent stability criteria are obtained. The obtained results are in terms of network parameters of the neural system only and therefore they can be easily checked. We also present some illustrative numerical examples to demonstrate that our result are new and improve corresponding results derived in the previous literature.
Açıklama
Anahtar Kelimeler
Mathematics, Stability analysis, Delayed neural networks, Interval matrices, Lyapunov functionals, Time-varying delays, Global robust stability, Exponential stability, Distributed delays, Neutral-type, Discrete, Criteria
Kaynak
Applied Mathematics and Computation
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
218
Sayı
12
Künye
Faydasıçok, Ö. & Arik, S. (2012). Equilibrium and stability analysis of delayed neural networks under parameter uncertainties. Applied Mathematics and Computation, 218(12), 6716-6726. doi:10.1016/j.amc.2011.12.036
