An analysis of stability of a class of neutral-type neural networks with discrete time delays
Yükleniyor...
Dosyalar
Tarih
2013
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Hindawi Publishing Corporation
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
The problem of existence, uniqueness, and global asymptotic stability is considered for the class of neutral-type neural network model with discrete time delays. By employing a suitable Lyapunov functional and using the homeomorphism mapping theorem, we derive some new delay-independent sufficient conditions for the existence, uniqueness, and global asymptotic stability of the equilibrium point for this class of neutral-type systems. The obtained conditions basically establish some norm and matrix inequalities involving the network parameters of the neural system. The main advantage of the proposed results is that they can be expressed in terms of network parameters only. Some comparative examples are also given to compare our results with the previous corresponding results and demonstrate the effectiveness of the results presented.
Açıklama
Anahtar Kelimeler
Dependent asymptotic stability, Global exponential stability, Synchronization control, Varying delays, Systems, Criterion
Kaynak
Abstract and Applied Analysis
WoS Q Değeri
Q1
Scopus Q Değeri
Q4
Cilt
2013
Sayı
Künye
Orman, Z. & Arik, S. (2013). An analysis of stability of a class of neutral-type neural networks with discrete time delays. Abstract and Applied Analysis, 2013, 1-9. doi:10.1155/2013/143585
