Non-linear system identification of the Norgaard model using NARX model / Mohd Lutfi Md Radzi

System identification is defined as the task of inferring a mathematical model of dynamic systems based on a series of measurements collected from the system. The modelling technique is generally divided into two: linear and non-linear. The linear modelling approach has the advantage of simplicity,...

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Main Author:	Md Radzi, Mohd Lutfi
Format:	Thesis
Language:	English
Published:	2007
Subjects:	Neural networks (Computer science)
Online Access:	https://ir.uitm.edu.my/id/eprint/86985/1/86985.PDF
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id	my-uitm-ir.86985
record_format	uketd_dc
spelling	my-uitm-ir.869852024-03-25T03:05:47Z Non-linear system identification of the Norgaard model using NARX model / Mohd Lutfi Md Radzi 2007 Md Radzi, Mohd Lutfi Neural networks (Computer science) System identification is defined as the task of inferring a mathematical model of dynamic systems based on a series of measurements collected from the system. The modelling technique is generally divided into two: linear and non-linear. The linear modelling approach has the advantage of simplicity, while the non linear approach has better ability to model more complex systems. This paper presents a non-linear system identification method the Norgaard Model, a simulation of an open-loop stable, nonlinear, continuous system. 2007 Thesis https://ir.uitm.edu.my/id/eprint/86985/ https://ir.uitm.edu.my/id/eprint/86985/1/86985.PDF text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Yassin, Ahmad Ihsan
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Yassin, Ahmad Ihsan
topic	Neural networks (Computer science)
spellingShingle	Neural networks (Computer science) Md Radzi, Mohd Lutfi Non-linear system identification of the Norgaard model using NARX model / Mohd Lutfi Md Radzi
description	System identification is defined as the task of inferring a mathematical model of dynamic systems based on a series of measurements collected from the system. The modelling technique is generally divided into two: linear and non-linear. The linear modelling approach has the advantage of simplicity, while the non linear approach has better ability to model more complex systems. This paper presents a non-linear system identification method the Norgaard Model, a simulation of an open-loop stable, nonlinear, continuous system.
format	Thesis
qualification_level	Bachelor degree
author	Md Radzi, Mohd Lutfi
author_facet	Md Radzi, Mohd Lutfi
author_sort	Md Radzi, Mohd Lutfi
title	Non-linear system identification of the Norgaard model using NARX model / Mohd Lutfi Md Radzi
title_short	Non-linear system identification of the Norgaard model using NARX model / Mohd Lutfi Md Radzi
title_full	Non-linear system identification of the Norgaard model using NARX model / Mohd Lutfi Md Radzi
title_fullStr	Non-linear system identification of the Norgaard model using NARX model / Mohd Lutfi Md Radzi
title_full_unstemmed	Non-linear system identification of the Norgaard model using NARX model / Mohd Lutfi Md Radzi
title_sort	non-linear system identification of the norgaard model using narx model / mohd lutfi md radzi
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2007
url	https://ir.uitm.edu.my/id/eprint/86985/1/86985.PDF
_version_	1804889764684365824

Non-linear system identification of the Norgaard model using NARX model / Mohd Lutfi Md Radzi

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