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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
https://ir.uitm.edu.my/id/eprint/77928/
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spelling my.uitm.ir.779282023-07-26T00:37:06Z https://ir.uitm.edu.my/id/eprint/77928/ System identification of essential oil extraction system using non-linear autoregressive model with exogenous inputs (NARX) / Farahida Awadz 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 NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/77928/1/77928.pdf System identification of essential oil extraction system using non-linear autoregressive model with exogenous inputs (NARX) / Farahida Awadz. (2010) Degree thesis, thesis, Universiti Teknologi MARA (UiTM).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
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
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
publishDate 2010
url https://ir.uitm.edu.my/id/eprint/77928/1/77928.pdf
https://ir.uitm.edu.my/id/eprint/77928/
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score 13.211869

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