Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.neucom.2009.10.019
DC FieldValue
dc.titleA B-spline network based neural controller for power electronic applications
dc.contributor.authorDeng, H.
dc.contributor.authorSrinivasan, D.
dc.contributor.authorOruganti, R.
dc.date.accessioned2014-06-16T09:23:50Z
dc.date.available2014-06-16T09:23:50Z
dc.date.issued2010-01
dc.identifier.citationDeng, H., Srinivasan, D., Oruganti, R. (2010-01). A B-spline network based neural controller for power electronic applications. Neurocomputing 73 (4-6) : 593-601. ScholarBank@NUS Repository. https://doi.org/10.1016/j.neucom.2009.10.019
dc.identifier.issn09252312
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/53922
dc.description.abstractConventional multi-layer feedforward ANN controllers with back-propagation training are too complex to be implemented in fast-dynamic power electric systems. This paper proposes a controller for power electric systems based on a type of on-line trained neural network called the B-spline network (BSN). Due to its linear nature and local weight updating, the BSN controller is more suitable for real-time implementation than conventional multi-layer feedforward neural controllers. Based on a frequency domain stability analysis, a design methodology for determining the two main parameters of the BSN is presented. The design procedure of the proposed BSN controller is straightforward and simple. Experimental results of UPS inverters with the proposed controller under various conditions show that the proposed controller can achieve excellent performance. © 2009 Elsevier B.V. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.neucom.2009.10.019
dc.sourceScopus
dc.subjectDigital control
dc.subjectInverters
dc.subjectIterative methods
dc.subjectNeurocontrollers
dc.subjectSpline functions
dc.subjectUninterruptible power systems
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1016/j.neucom.2009.10.019
dc.description.sourcetitleNeurocomputing
dc.description.volume73
dc.description.issue4-6
dc.description.page593-601
dc.description.codenNRCGE
dc.identifier.isiut000275643000007
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

11
checked on Nov 23, 2020

WEB OF SCIENCETM
Citations

9
checked on Nov 23, 2020

Page view(s)

66
checked on Nov 10, 2020

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.