Referenced Items are not available for this document.
The problem ensuring the global exponential stability (GES) of a class of delayed cellular neural networks (CNNs) with time-varying delays is studied. Without assuming the boundedness of the activation functions, by applying the idea of the Lyapunov function, the linear matrix inequality (LMI) techniques, the free-weighting matrix method, and a novel equation, a new sufficient condition for the GES of CNNs with time-varying delays is obtained, which generalizes the previous results in the literature. The criterion is easy to be verified since it takes the form of an LMI. Three numerical examples are given to illustrate the effectiveness and less conservativeness of our proposed method.
Published in:
Circuits and Systems II: Express Briefs, IEEE Transactions on
(Volume:56
,
Issue:
3
)
Date of Publication: March 2009
- Page(s):
- 250 - 254
- ISSN :
- 1549-7747
- INSPEC Accession Number:
- 10545853
- Digital Object Identifier :
- 10.1109/TCSII.2008.2011594
- Product Type:
- Journals & Magazines
- Date of Publication :
- 10 March 2009
- Date of Current Version :
- 17 March 2009
- Issue Date :
- March 2009
- Sponsored by :
- IEEE Circuits and Systems Society
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