Global asymptotic stability of a larger class of neural networks with constant time delay

Arik S.

PHYSICS LETTERS A, cilt.311, sa.6, ss.504-511, 2003 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 311 Sayı: 6
  • Basım Tarihi: 2003
  • Doi Numarası: 10.1016/s0375-9601(03)00569-3
  • Dergi Adı: PHYSICS LETTERS A
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.504-511
  • İstanbul Üniversitesi Adresli: Evet

Özet

This Letter presents some new sufficient conditions for the uniqueness and global asymptotic stability (GAS) of the equilibrium point for a larger class of neural networks with constant time delay. It is shown that the use of a more general type of Lyapunov-Krasovskii functional enables us to establish global asymptotic stability of a larger class of delayed neural networks than those considered in some previous papers. (C) 2003 Elsevier Science B.V. All rights reserved.