Exponential stability of Markovian jumping stochastic Cohen-Grossberg neural networks with mode-dependent probabilistic time-varying delays and impulses

Rakkiyappan, R., Chandrasekar, A., Lakshmanan, S. and Park, Ju H. 2014, Exponential stability of Markovian jumping stochastic Cohen-Grossberg neural networks with mode-dependent probabilistic time-varying delays and impulses, Neurocomputing, vol. 131, pp. 265-277, doi: 10.1016/j.neucom.2013.10.018.

Attached Files
Name Description MIMEType Size Downloads

Title Exponential stability of Markovian jumping stochastic Cohen-Grossberg neural networks with mode-dependent probabilistic time-varying delays and impulses
Author(s) Rakkiyappan, R.
Chandrasekar, A.
Lakshmanan, S.ORCID iD for Lakshmanan, S. orcid.org/0000-0002-4622-3782
Park, Ju H.
Journal name Neurocomputing
Volume number 131
Start page 265
End page 277
Total pages 13
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2014-05-05
ISSN 0925-2312
1872-8286
Keyword(s) Lyapunov–Krasovskii functional
Markovian jumping parameters
neural networks
probabilistic time-varying delays
Language eng
DOI 10.1016/j.neucom.2013.10.018
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 ©2013, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30077151

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 30 times in TR Web of Science
Scopus Citation Count Cited 34 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 45 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Thu, 27 Aug 2015, 15:02:36 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.