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Globally exponential stability for neural networks with time-varying delays.
- Source :
-
Applied Mathematics & Computation . Jul2013, Vol. 219 Issue 21, p10487-10498. 12p. - Publication Year :
- 2013
-
Abstract
- Abstract: In this paper, together with some Lyapunov–Krasovskii functionals and effective mathematical techniques, several conditions are derived to guarantee a class of neural networks with discrete and distributed time-varying delays to be globally exponential stability. Finally, two numerical examples are given to illustrate the effectiveness of the proposed methods. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 00963003
- Volume :
- 219
- Issue :
- 21
- Database :
- Academic Search Index
- Journal :
- Applied Mathematics & Computation
- Publication Type :
- Academic Journal
- Accession number :
- 89117148
- Full Text :
- https://doi.org/10.1016/j.amc.2013.04.035