Global exponential stability analysis of delayed cellular neural networks

Senan S., Arik S.

IEEE International Symposium on Circuits and Systems (ISCAS), Kobe, Japonya, 23 - 26 Mayıs 2005, ss.4665-4668 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/iscas.2005.1465673
  • Basıldığı Şehir: Kobe
  • Basıldığı Ülke: Japonya
  • Sayfa Sayıları: ss.4665-4668
  • İstanbul Üniversitesi Adresli: Evet

Özet

This paper 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 are also compared with the most recent results derived in the literature.