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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/29834
Title: The NARMAX Model for a DC Motor using MLP Neural Network
Authors: Norasmadi, Abdul Rahim
Mohd Nasir, Taib
Abdul Hamid, Adom, Prof. Dr.
Mohd Yusof, Mashor, Prof. Dr.
norasmadi@kukum.edu.my
Keywords: NARMAX
Multilayer perceptron (MLP)
One-step-ahead (OSA)
Normalize sum squared error (NSSE)
Levenberg-Marquardt Algorithm (LMA )
Issue Date: 15-Sep-2006
Publisher: Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM)
Series/Report no.: International Conference provides a forum for presentation and discussion of the state of current research in Man-Machine Systems Engineering (ICoMMS) 2006;
Abstract: The 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 system
Description: International 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.
URI: http://dspace.unimap.edu.my/123456789/29834
Appears in Collections:Conference Papers
Mohd Yusoff Mashor, Prof. Dr.
Abdul Hamid Adom, Prof. Dr.

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