Design, verification and robotic application of a novel recurrent neural network for computing dynamic Sylvester equation

Xiao, Lin, Zhang, Zhijun, Zhang, Zili, Li, Weibing and Li, Shuai 2018, Design, verification and robotic application of a novel recurrent neural network for computing dynamic Sylvester equation, Neural networks, vol. 105, pp. 185-196, doi: 10.1016/j.neunet.2018.05.008.

Attached Files
Name Description MIMEType Size Downloads

Title Design, verification and robotic application of a novel recurrent neural network for computing dynamic Sylvester equation
Author(s) Xiao, Lin
Zhang, Zhijun
Zhang, ZiliORCID iD for Zhang, Zili orcid.org/0000-0002-8721-9333
Li, Weibing
Li, Shuai
Journal name Neural networks
Volume number 105
Start page 185
End page 196
Total pages 12
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2018-09
ISSN 0893-6080
1879-2782
Keyword(s) Zhang neural network
dynamic Sylvester equation
finite-time convergence
robustness
Language eng
DOI 10.1016/j.neunet.2018.05.008
Field of Research MD Multidisciplinary
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2018, Elsevier Ltd.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30111602

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 0 times in TR Web of Science
Scopus Citation Count Cited 36 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 202 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Wed, 18 Jul 2018, 13:40:56 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.