An analysis of exponential stability of delayed neural networks with time varying delays

Arik S.

NEURAL NETWORKS, cilt.17, sa.7, ss.1027-1031, 2004 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 17 Sayı: 7
  • Basım Tarihi: 2004
  • Doi Numarası: 10.1016/j.neunet.2004.02.001
  • Dergi Adı: NEURAL NETWORKS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1027-1031
  • İstanbul Üniversitesi Adresli: Evet

Özet

This paper derives a new sufficient condition for the exponential stability of the equilibrium point for delayed neural networks with time varying delays by employing a Lyapunov-Krasovskii functional and using Linear Matrix Inequality (LMI) approach. This result establishes a relation between the delay time and the parameters of the network. The result is also compared with the most recent result derived in the literature. (C) 2004 Elsevier Ltd. All rights reserved.