Stability analysis of delayed neural networks

Arik S.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS, cilt.47, sa.7, ss.1089-1092, 2000 (SCI-Expanded, Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 47 Sayı: 7
  • Basım Tarihi: 2000
  • Doi Numarası: 10.1109/81.855465
  • Dergi Adı: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1089-1092
  • Anahtar Kelimeler: asymptotic stability, delayed neural networks, SUFFICIENT CONDITION, ABSOLUTE STABILITY
  • İstanbul Üniversitesi-Cerrahpaşa Adresli: Evet

Özet

In this paper, we derive several sufficient conditions for the asymptotic stability of delayed neural networks. These conditions ensure the asymptotic stability of the equilibrium point of a delayed neural network independently of the delay parameter. The results obtained impose constraint conditions on the interconnection matrix of the neural system. These results are also compared with the earlier results derived in the literature.