An analysis of global asymptotic stability of delayed cellular neural networks


Arik S.

IEEE TRANSACTIONS ON NEURAL NETWORKS, cilt.13, sa.5, ss.1239-1242, 2002 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 13 Sayı: 5
  • Basım Tarihi: 2002
  • Doi Numarası: 10.1109/tnn.2002.1031957
  • Dergi Adı: IEEE TRANSACTIONS ON NEURAL NETWORKS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1239-1242
  • İstanbul Üniversitesi Adresli: Evet

Özet

In this paper, a new sufficient condition is given for the uniqueness and global asymptotic stability of the equilibrium point for delayed cellular neural networks (DCNNs). This condition imposes constraints on the feedback and delayed feedback matrices of a DCNN independently of the delay parameter. This result is also compared with the previous results derived in the literature.