Global stability of a class of neural networks with time-varying delay


ENSARI T. , Arik S.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, cilt.52, sa.3, ss.126-130, 2005 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 52 Konu: 3
  • Basım Tarihi: 2005
  • Doi Numarası: 10.1109/tcsii.2004.842050
  • Dergi Adı: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
  • Sayfa Sayıları: ss.126-130

Özet

This paper presents a new sufficient condition for the uniqueness and global asymptotic stability of the equilibrium point for a class of neural networks with time-varying delays. The result is obtained by the use of a more general type of Lyapunov-Krasovskii functional, establishing a relation between the network parameters of the neural system and time-varying delay parameter. The result is also shown to be a generalization of a previously published result.