You are not logged in.

Delay-interval dependent robust stability criteria for stochastic neural networks with linear fractional uncertainties

Balasubramaniam, P., Lakshmanan, S. and Rakkiyappan, R. 2009, Delay-interval dependent robust stability criteria for stochastic neural networks with linear fractional uncertainties, Neurocomputing, vol. 72, no. 16-18, pp. 3675-3682, doi: 10.1016/j.neucom.2009.06.006.

Attached Files
Name Description MIMEType Size Downloads

Title Delay-interval dependent robust stability criteria for stochastic neural networks with linear fractional uncertainties
Author(s) Balasubramaniam, P.
Lakshmanan, S.ORCID iD for Lakshmanan, S. orcid.org/0000-0002-4622-3782
Rakkiyappan, R.
Journal name Neurocomputing
Volume number 72
Issue number 16-18
Start page 3675
End page 3682
Total pages 8
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2009-10
ISSN 0925-2312
Keyword(s) delay/interval-dependent stability
linear matrix inequality (LMI)
Lyapunov-Krasivskii functional
stochastic neural networks
Language eng
DOI 10.1016/j.neucom.2009.06.006
Field of Research 08 Information And Computing Sciences
09 Engineering
17 Psychology And Cognitive Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2009, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30077184

Document type: Journal Article
Collection: Centre for Intelligent Systems Research
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 43 times in TR Web of Science
Scopus Citation Count Cited 45 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 20 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Thu, 27 Aug 2015, 15:13:47 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.