New results for exponential stability of delayed cellular neural networks
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, vol.52, no.3, pp.154-158, 2005 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 52 Issue: 3
- Publication Date: 2005
- Doi Number: 10.1109/tcsii.2004.842045
- Journal Name: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Page Numbers: pp.154-158
- Istanbul University Affiliated: Yes
Abstract
This brief presents new sufficient conditions for the global exponential stability of the equilibrium point for delayed cellular neural networks (DCNNs). It is shown that the use of a more general type of Lyapunov-Krasovskii functional enables us to derive new results for exponential stability of the equilibrium point for DCNNs. The results establish a relation between the delay time and the parameters of the network. The results are also compared with one of the most recent results derived in the literature.