Global stability of a class of neural networks with time-varying delay

ENSARI, Tolga; Arik, Sabri

doi:10.1109/tcsii.2004.842050

Global stability of a class of neural networks with time-varying delay

Atıf İçin Kopyala

ENSARI T., Arik S.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, cilt.52, sa.3, ss.126-130, 2005 (SCI-Expanded)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 52 Sayı: 3
Basım Tarihi: 2005
Doi Numarası: 10.1109/tcsii.2004.842050
Dergi Adı: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
Sayfa Sayıları: ss.126-130
İstanbul Üniversitesi Adresli: Evet

Özet

This paper presents a new sufficient condition for the uniqueness and global asymptotic stability of the equilibrium point for a class of neural networks with time-varying delays. The result is obtained by the use of a more general type of Lyapunov-Krasovskii functional, establishing a relation between the network parameters of the neural system and time-varying delay parameter. The result is also shown to be a generalization of a previously published result.