Global stability of a class of neural networks with time-varying delay
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, vol.52, no.3, pp.126-130, 2005 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 52 Issue: 3
- Publication Date: 2005
- Doi Number: 10.1109/tcsii.2004.842050
- Journal Name: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Page Numbers: pp.126-130
- Istanbul University Affiliated: Yes
Abstract
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.