System identification of essential oil extraction system using non-linear autoregressive model with exogenous inputs (NARX) / Farahida Awadz

This project explores the application of system identification using Non-Linear Autoregressive Model with Exogeneous Inputs (NARX) of an essential oil extraction system. Model structure selection was performed by applying the Binary Particle Swarm Optimization (BPSO) algorithm which been developed b...

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Main Author:	Awadz, Farahida
Format:	Thesis
Language:	English
Published:	2010
Subjects:	Chemicals
Online Access:	https://ir.uitm.edu.my/id/eprint/77928/1/77928.pdf
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id	my-uitm-ir.77928
record_format	uketd_dc
spelling	my-uitm-ir.779282023-07-26T00:37:06Z System identification of essential oil extraction system using non-linear autoregressive model with exogenous inputs (NARX) / Farahida Awadz 2010 Awadz, Farahida Chemicals This project explores the application of system identification using Non-Linear Autoregressive Model with Exogeneous Inputs (NARX) of an essential oil extraction system. Model structure selection was performed by applying the Binary Particle Swarm Optimization (BPSO) algorithm which been developed by (J.Kennedy and R.Eberhart, 1997). The application of BPSO for model structure selection can be described by representing each particle's position in binary value. Then, the binary value is used to select a set of regressors from the regressor matrix. The QR factorization is used to estimate the parameters of the reduced regressor matrix. The tests that been performed based on the essential oil extraction system by (Rahiman, 2009), show that the BPSO has the potential to become an effective method to determine the NARX model structure in the system identification model. 2010 Thesis https://ir.uitm.edu.my/id/eprint/77928/ https://ir.uitm.edu.my/id/eprint/77928/1/77928.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering M. Yassin, Ahmad lhsan
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	M. Yassin, Ahmad lhsan
topic	Chemicals
spellingShingle	Chemicals Awadz, Farahida System identification of essential oil extraction system using non-linear autoregressive model with exogenous inputs (NARX) / Farahida Awadz
description	This project explores the application of system identification using Non-Linear Autoregressive Model with Exogeneous Inputs (NARX) of an essential oil extraction system. Model structure selection was performed by applying the Binary Particle Swarm Optimization (BPSO) algorithm which been developed by (J.Kennedy and R.Eberhart, 1997). The application of BPSO for model structure selection can be described by representing each particle's position in binary value. Then, the binary value is used to select a set of regressors from the regressor matrix. The QR factorization is used to estimate the parameters of the reduced regressor matrix. The tests that been performed based on the essential oil extraction system by (Rahiman, 2009), show that the BPSO has the potential to become an effective method to determine the NARX model structure in the system identification model.
format	Thesis
qualification_level	Bachelor degree
author	Awadz, Farahida
author_facet	Awadz, Farahida
author_sort	Awadz, Farahida
title	System identification of essential oil extraction system using non-linear autoregressive model with exogenous inputs (NARX) / Farahida Awadz
title_short	System identification of essential oil extraction system using non-linear autoregressive model with exogenous inputs (NARX) / Farahida Awadz
title_full	System identification of essential oil extraction system using non-linear autoregressive model with exogenous inputs (NARX) / Farahida Awadz
title_fullStr	System identification of essential oil extraction system using non-linear autoregressive model with exogenous inputs (NARX) / Farahida Awadz
title_full_unstemmed	System identification of essential oil extraction system using non-linear autoregressive model with exogenous inputs (NARX) / Farahida Awadz
title_sort	system identification of essential oil extraction system using non-linear autoregressive model with exogenous inputs (narx) / farahida awadz
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2010
url	https://ir.uitm.edu.my/id/eprint/77928/1/77928.pdf
_version_	1783736183383130112

System identification of essential oil extraction system using non-linear autoregressive model with exogenous inputs (NARX) / Farahida Awadz

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