Referenced Items are not available for this document.
This paper provides new delay-dependent conditions that guarantee the robust exponential stability of stochastic Hopfield type neural networks with time-varying delays and parameter uncertainties. Both the cases of the time-varying delays which are differentiable and may not be differentiable are considered. The stability conditions are derived by using the recently developed free-weighting matrices technique and expressed in terms of linear matrix inequalities. Numerical examples are provided to demonstrate the effectiveness of the proposed stability criteria. It is shown that the proposed stability results are less conservative than some previous ones in the literature.
Published in:
Circuits and Systems I: Regular Papers, IEEE Transactions on
(Volume:56
,
Issue:
6
)
Date of Publication: June 2009
- Page(s):
- 1241 - 1247
- ISSN :
- 1549-8328
- INSPEC Accession Number:
- 10729832
- Digital Object Identifier :
- 10.1109/TCSI.2008.2008499
- Product Type:
- Journals & Magazines
- Date of Publication :
- 31 October 2008
- Date of Current Version :
- 19 June 2009
- Issue Date :
- June 2009
- Sponsored by :
- IEEE Circuits and Systems Society
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