Global asymptotic stability of a larger class of delayed neural networks
IEEE International Symposium on Circuits and Systems, Bangkok, Tayland, 25 - 28 Mayıs 2003, ss.721-724, (Tam Metin Bildiri)
- 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.