System identification of PFC rectifier controller using non-linear autoregressive moving average with exogenous inputs (NARMAX) model / Mohd Benyamin Sabtu

In this project, the model structure selection of a Non-Linear Autoregressive Moving Average with Exogenous Input (NARMAX) identification of a Power Factor Correction (PFC) Rectifier Controller was performed by applying the Orthogonal Least Square (OLS) algorithm. The NARMAX model was introduced by...

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Main Author:	Sabtu, Mohd Benyamin
Format:	Thesis
Language:	English
Published:	2010
Online Access:	https://ir.uitm.edu.my/id/eprint/84824/1/84824.pdf
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id	my-uitm-ir.84824
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spelling	my-uitm-ir.848242024-02-16T09:36:59Z System identification of PFC rectifier controller using non-linear autoregressive moving average with exogenous inputs (NARMAX) model / Mohd Benyamin Sabtu 2010 Sabtu, Mohd Benyamin In this project, the model structure selection of a Non-Linear Autoregressive Moving Average with Exogenous Input (NARMAX) identification of a Power Factor Correction (PFC) Rectifier Controller was performed by applying the Orthogonal Least Square (OLS) algorithm. The NARMAX model was introduced by Leontaritis and Billings (1985). The OLS estimation algorithm has been found to be an efficient tool for the estimation of non-linear systems. The tests that been performed based on the PFC Rectifier Controller dataset, show that the OLS has the potential to become an effective method to determine the NARMAX model structure in the system identification model. 2010 Thesis https://ir.uitm.edu.my/id/eprint/84824/ https://ir.uitm.edu.my/id/eprint/84824/1/84824.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering M. Yassin, Ahmad Ihsan
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	M. Yassin, Ahmad Ihsan
description	In this project, the model structure selection of a Non-Linear Autoregressive Moving Average with Exogenous Input (NARMAX) identification of a Power Factor Correction (PFC) Rectifier Controller was performed by applying the Orthogonal Least Square (OLS) algorithm. The NARMAX model was introduced by Leontaritis and Billings (1985). The OLS estimation algorithm has been found to be an efficient tool for the estimation of non-linear systems. The tests that been performed based on the PFC Rectifier Controller dataset, show that the OLS has the potential to become an effective method to determine the NARMAX model structure in the system identification model.
format	Thesis
qualification_level	Bachelor degree
author	Sabtu, Mohd Benyamin
spellingShingle	Sabtu, Mohd Benyamin System identification of PFC rectifier controller using non-linear autoregressive moving average with exogenous inputs (NARMAX) model / Mohd Benyamin Sabtu
author_facet	Sabtu, Mohd Benyamin
author_sort	Sabtu, Mohd Benyamin
title	System identification of PFC rectifier controller using non-linear autoregressive moving average with exogenous inputs (NARMAX) model / Mohd Benyamin Sabtu
title_short	System identification of PFC rectifier controller using non-linear autoregressive moving average with exogenous inputs (NARMAX) model / Mohd Benyamin Sabtu
title_full	System identification of PFC rectifier controller using non-linear autoregressive moving average with exogenous inputs (NARMAX) model / Mohd Benyamin Sabtu
title_fullStr	System identification of PFC rectifier controller using non-linear autoregressive moving average with exogenous inputs (NARMAX) model / Mohd Benyamin Sabtu
title_full_unstemmed	System identification of PFC rectifier controller using non-linear autoregressive moving average with exogenous inputs (NARMAX) model / Mohd Benyamin Sabtu
title_sort	system identification of pfc rectifier controller using non-linear autoregressive moving average with exogenous inputs (narmax) model / mohd benyamin sabtu
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2010
url	https://ir.uitm.edu.my/id/eprint/84824/1/84824.pdf
_version_	1794192055585472512

System identification of PFC rectifier controller using non-linear autoregressive moving average with exogenous inputs (NARMAX) model / Mohd Benyamin Sabtu

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