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Asymptotic stability analysis of neural networks with successive time delay components
- Source :
-
Neurocomputing . Aug2008, Vol. 71 Issue 13-15, p2848-2856. 9p. - Publication Year :
- 2008
-
Abstract
- Abstract: In this paper the asymptotic stability of a class of time-delay neural networks is investigated. The neural network model under consideration includes multiple components which is more general than those with the single delay. By constructing a new Lyapunov functional and by using advanced techniques for achieving delay dependence, we derive a new asymptotic stability criterion for neural networks with multiple successive delay components. A numerical example is provided to show the merits of the proposed criterion. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 09252312
- Volume :
- 71
- Issue :
- 13-15
- Database :
- Academic Search Index
- Journal :
- Neurocomputing
- Publication Type :
- Academic Journal
- Accession number :
- 33630535
- Full Text :
- https://doi.org/10.1016/j.neucom.2007.08.015