Global stability of a class of neural networks with time-varying delay
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)
- Sayfa Sayıları: ss.126-130
- Anahtar Kelimeler: equilibrium and stability analysis, Lyapunov functionals, neural networks, time-varying delays, EXPONENTIAL STABILITY, ROBUST STABILITY
- İstanbul Üniversitesi-Cerrahpaşa 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.