Please use this identifier to cite or link to this item: https://doi.org/10.1109/41.222646
DC FieldValue
dc.titleMethodology for neural network training for control of drives with nonlinearities
dc.contributor.authorLow, Teck-Seng
dc.contributor.authorLee, Tong-Heng
dc.contributor.authorLim, Hock-Koon
dc.date.accessioned2014-10-07T03:00:33Z
dc.date.available2014-10-07T03:00:33Z
dc.date.issued1993-04
dc.identifier.citationLow, Teck-Seng, Lee, Tong-Heng, Lim, Hock-Koon (1993-04). Methodology for neural network training for control of drives with nonlinearities. IEEE Transactions on Industrial Electronics 40 (2) : 243-249. ScholarBank@NUS Repository. https://doi.org/10.1109/41.222646
dc.identifier.issn02780046
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/80716
dc.description.abstractThe learning process of a multilayered feedforward neural network involves extracting a desired function from the training data presented through an appropriate training algorithm. To achieve the desired function, the generation of good training data is an important issue which needs to be addressed. This paper presents a closed-loop methodology for neural network training for control of drives with nonlinearities. In the paper problems associated with the more common open-loop training scheme, and how these are addressed by the proposed closed-loop method, are discussed. An inverse nonlinear control using neural network (INC/NN), a control strategy which incorporates the neural network for control of nonlinear systems, is described and used to demonstrate the effectiveness of the closed-loop training scheme for neural network. Simulation studies and experimental results are presented to verify the improvement achieved by the closed-loop training methodology.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/41.222646
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.doi10.1109/41.222646
dc.description.sourcetitleIEEE Transactions on Industrial Electronics
dc.description.volume40
dc.description.issue2
dc.description.page243-249
dc.description.codenITIED
dc.identifier.isiutA1993LM51900010
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