Global robust stability analysis of neural networks with discrete time delays

Arik S.

CHAOS SOLITONS & FRACTALS, cilt.26, sa.5, ss.1407-1414, 2005 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 26 Sayı: 5
  • Basım Tarihi: 2005
  • Doi Numarası: 10.1016/j.chaos.2005.03.025
  • Dergi Adı: CHAOS SOLITONS & FRACTALS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1407-1414
  • İstanbul Üniversitesi Adresli: Evet

Özet

Global robust convergence properties of continuous-time neural networks with discrete delays are studied. By using a Lyapunov functional, we derive a delay independent stability condition for the existence uniqueness and global robust asymptotic stability of the equilibrium point. The condition is in terms of the network parameters only and can be easily verified. It is also shown that the obtained result improves and generalizes a previously published result. (c) 2005 Elsevier Ltd. All rights reserved.