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 identifier identifier

  • Cilt numarası:
  • Basıldığı Şehir: Bangkok
  • Basıldığı Ülke: Tayland
  • Sayfa Sayıları: ss.721-724

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.