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This paper deals with the problem of exponential stability for a class of discrete-time recurrent neural networks with time-varying delay by employing an improved free-weighting matrix approach. The relationship among the time-varying delay, its upper bound and their difference is taken into account. As a result, a new and less conservative delay-dependent stability criterion is obtained without ignoring any useful terms on the difference of a Lyapunov function, which is expressed in terms of linear matrix inequalities. Finally, numerical examples are given to demonstrate the effectiveness of the proposed techniques.
Published in:
Circuits and Systems II: Express Briefs, IEEE Transactions on
(Volume:55
,
Issue:
7
)
Date of Publication: July 2008
- Page(s):
- 690 - 694
- ISSN :
- 1549-7747
- INSPEC Accession Number:
- 10117773
- Digital Object Identifier :
- 10.1109/TCSII.2008.921597
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 16 July 2008
- Issue Date :
- July 2008
- Sponsored by :
- IEEE Circuits and Systems Society
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