A new sufficient condition for global robust stability of bidirectional associative memory neural networks with multiple time delays

Ozcan, NEYİR; Arik, Sabri

doi:10.1016/j.nonrwa.2008.07.001

A new sufficient condition for global robust stability of bidirectional associative memory neural networks with multiple time delays

Atıf İçin Kopyala

Ozcan N., Arik S.

NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS, cilt.10, sa.5, ss.3312-3320, 2009 (SCI-Expanded)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 10 Sayı: 5
Basım Tarihi: 2009
Doi Numarası: 10.1016/j.nonrwa.2008.07.001
Dergi Adı: NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
Sayfa Sayıları: ss.3312-3320
Bursa Uludağ Üniversitesi Adresli: Hayır

Özet

This paper presents an easily verifiable delay independent sufficient condition for the global robust asymptotic stability of the equilibrium point for bidirectional associative memory (BAM) neural networks with time delays by employing a class of Lyapunov functionals. The obtained results are applicable to all bounded continuous non-monotonic neuron activation functions. Some numerical examples are given to compare our results with the previous robust stability results derived in the literature. (C) 2008 Elsevier Ltd. All rights reserved.