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dc.contributor.authorNorasmadi, Abdul Rahim-
dc.contributor.authorMohd Nasir, Taib-
dc.contributor.authorAbdul Hamid, Adom, Prof. Dr.-
dc.contributor.authorMohd Yusof, Mashor, Prof. Dr.-
dc.date.accessioned2013-11-15T03:58:21Z-
dc.date.available2013-11-15T03:58:21Z-
dc.date.issued2006-09-15-
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/29834-
dc.descriptionInternational Conference On Man-Machine Systems 2006 (ICoMMs 2006) organized by School of Mechatronic Engineering, Northern Malaysia University College of Engineering (KUKUM), 15th - 16th September 2006 at at City Bayview Hotel, Langkawi, Kedah, Malaysia.en_US
dc.description.abstractThe approach to the design of direct current (DC) motor varies considerably using advanced methods such asartificial intelligence (AI). However, accuracy issuescannot be totally achieved using conventional methods.This paper presents the study on nonlinear autoregressivemoving average with exogenous input (NARMAX) modelusing multilayer perceptron (MLP) neural network for DC motor modeling. The simulation results show that MLPneural network can fit the NARMAX model and identify the DC motor drive systemen_US
dc.language.isoenen_US
dc.publisherKolej Universiti Kejuruteraan Utara Malaysia (KUKUM)en_US
dc.relation.ispartofseriesInternational Conference provides a forum for presentation and discussion of the state of current research in Man-Machine Systems Engineering (ICoMMS) 2006;-
dc.subjectNARMAXen_US
dc.subjectMultilayer perceptron (MLP)en_US
dc.subjectOne-step-ahead (OSA)en_US
dc.subjectNormalize sum squared error (NSSE)en_US
dc.subjectLevenberg-Marquardt Algorithm (LMA )en_US
dc.titleThe NARMAX Model for a DC Motor using MLP Neural Networken_US
dc.typeWorking Paperen_US
dc.publisher.departmentSchool of Mechatronic Engineeringen_US
dc.contributor.urlnorasmadi@kukum.edu.myen_US
Appears in Collections:Conference Papers
Mohd Yusoff Mashor, Prof. Dr.
Abdul Hamid Adom, Prof. Dr.

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