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

Ensarı T., Arik S.

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

  • 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.