Global asymptotic stability of a larger class of delayed neural networks

Arik S.

IEEE International Symposium on Circuits and Systems, Bangkok, Tayland, 25 - 28 Mayıs 2003, ss.721-724, (Tam Metin Bildiri) identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Basıldığı Şehir: Bangkok
  • Basıldığı Ülke: Tayland
  • Sayfa Sayıları: ss.721-724
  • İstanbul Üniversitesi-Cerrahpaşa Adresli: Evet

Özet

This paper 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.