Global asymptotic stability of a larger class of neural networks with constant time delay

Arik S.

PHYSICS LETTERS A, vol.311, no.6, pp.504-511, 2003 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 311 Issue: 6
  • Publication Date: 2003
  • Doi Number: 10.1016/s0375-9601(03)00569-3
  • Journal Name: PHYSICS LETTERS A
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.504-511
  • Istanbul University Affiliated: Yes

Abstract

This Letter presents some new sufficient conditions for the uniqueness and global asymptotic stability (GAS) of the equilibrium point for a larger class of neural networks with constant time delay. It is shown that the use of a more general type of Lyapunov-Krasovskii functional enables us to establish global asymptotic stability of a larger class of delayed neural networks than those considered in some previous papers. (C) 2003 Elsevier Science B.V. All rights reserved.