Global robust stability of bidirectional associative memory neural networks with multiple time delays

Senan, Sibel; Arik, Sabri

doi:10.1109/tsmcb.2007.902244

Global robust stability of bidirectional associative memory neural networks with multiple time delays

Atıf İçin Kopyala

Senan S., Arik S.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, cilt.37, sa.5, ss.1375-1381, 2007 (SCI-Expanded)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 37 Sayı: 5
Basım Tarihi: 2007
Doi Numarası: 10.1109/tsmcb.2007.902244
Dergi Adı: IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
Sayfa Sayıları: ss.1375-1381
İstanbul Üniversitesi Adresli: Evet

Özet

This correspondence presents a sufficient condition for the existence, uniqueness, and global robust asymptotic stability of the equilibrium point for bidirectional associative memory neural networks with discrete time delays. The results impose constraint conditions on the network parameters of the neural system independently of the delay parameter, and they are applicable to all bounded continuous nonmonotonic neuron activation functions. Some numerical examples are given to compare our results with the previous robust stability results derived in the literature.