New results for exponential stability of delayed cellular neural networks

SENAN S., Arik S.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, cilt.52, sa.3, ss.154-158, 2005 (SCI-Expanded, Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 52 Sayı: 3
  • Basım Tarihi: 2005
  • Doi Numarası: 10.1109/tcsii.2004.842045
  • Dergi Adı: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.154-158
  • Anahtar Kelimeler: delays, Lyapunov methods, neural networks, stability, GLOBAL STABILITY
  • İstanbul Üniversitesi-Cerrahpaşa Adresli: Evet

Özet

This brief presents new sufficient conditions for the global exponential stability of the equilibrium point for delayed cellular neural networks (DCNNs). It is shown that the use of a more general type of Lyapunov-Krasovskii functional enables us to derive new results for exponential stability of the equilibrium point for DCNNs. The results establish a relation between the delay time and the parameters of the network. The results are also compared with one of the most recent results derived in the literature.