MUL TIVARJABLE CLOSED-LOOP SYSTEM IDENTIFICATION USING ITERATIVE LEAKY LEAST MEAN SQUARES METHOD

Channel isolation usmg partial correlation analysis and estimation of model parameters in the conventional multivariable closed-loop system identification approaches use the method of Least Square (LS) with the limitations, viz. (I) large estimation bias due to the highly correlated input signals...

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Main Author: MOHAMED OSMAN, MOHAMED ABDELRAHIM
Format: Thesis
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.18328 /
Published: 2016
Subjects:
TP Chemical technology
Online Access: http://utpedia.utp.edu.my/18328/1/2016%20-CHEMICAL%20-%20MULTIVARIABLE%20CLOSED-LOOP%20SYSTEM%20IDENTIFICATION%20USING%20ITERATIVE%20LEAKY%20LEAST%20MEAN%20SQUARES%20METHOD%20-%20MOHAMED%20ABDELRAHIM%20MOHAMED%20OSMAN.pdf
http://utpedia.utp.edu.my/18328/
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spelling utp-utpedia.183282019-01-16T15:30:19Z http://utpedia.utp.edu.my/18328/ MUL TIVARJABLE CLOSED-LOOP SYSTEM IDENTIFICATION USING ITERATIVE LEAKY LEAST MEAN SQUARES METHOD MOHAMED OSMAN, MOHAMED ABDELRAHIM TP Chemical technology Channel isolation usmg partial correlation analysis and estimation of model parameters in the conventional multivariable closed-loop system identification approaches use the method of Least Square (LS) with the limitations, viz. (I) large estimation bias due to the highly correlated input signals, low Signal to Noise Ratio (SNR) and correlated noise signals; and (2) inconsistent parameter estimates due to noise and unmeasured disturbances. In this thesis. iterative Leaky Least Mean Squares (LLMS) based methods are proposed to address the limitations ofLS method in MultiInput Multi-Output (MIMO) closed-loop system identification. In this research. novel algorithms have been developed to: (I) isolate the less interacting channe Is using a modified partial correlation algorithm. (2) achieve unbiased and consistent parameter estimates using an iterative LLMS algorithm and (3) develop parsimonious models for closed-loop MIMO systems. All the proposed algorithms are demonstrated with the help of extensive simulation case studies and a real pilot-scale distillation column with appropriate validation procedures 2016-07 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/18328/1/2016%20-CHEMICAL%20-%20MULTIVARIABLE%20CLOSED-LOOP%20SYSTEM%20IDENTIFICATION%20USING%20ITERATIVE%20LEAKY%20LEAST%20MEAN%20SQUARES%20METHOD%20-%20MOHAMED%20ABDELRAHIM%20MOHAMED%20OSMAN.pdf MOHAMED OSMAN, MOHAMED ABDELRAHIM (2016) MUL TIVARJABLE CLOSED-LOOP SYSTEM IDENTIFICATION USING ITERATIVE LEAKY LEAST MEAN SQUARES METHOD. PhD thesis, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
MOHAMED OSMAN, MOHAMED ABDELRAHIM
MUL TIVARJABLE CLOSED-LOOP SYSTEM IDENTIFICATION USING ITERATIVE LEAKY LEAST MEAN SQUARES METHOD
description Channel isolation usmg partial correlation analysis and estimation of model parameters in the conventional multivariable closed-loop system identification approaches use the method of Least Square (LS) with the limitations, viz. (I) large estimation bias due to the highly correlated input signals, low Signal to Noise Ratio (SNR) and correlated noise signals; and (2) inconsistent parameter estimates due to noise and unmeasured disturbances. In this thesis. iterative Leaky Least Mean Squares (LLMS) based methods are proposed to address the limitations ofLS method in MultiInput Multi-Output (MIMO) closed-loop system identification. In this research. novel algorithms have been developed to: (I) isolate the less interacting channe Is using a modified partial correlation algorithm. (2) achieve unbiased and consistent parameter estimates using an iterative LLMS algorithm and (3) develop parsimonious models for closed-loop MIMO systems. All the proposed algorithms are demonstrated with the help of extensive simulation case studies and a real pilot-scale distillation column with appropriate validation procedures
format Thesis
author MOHAMED OSMAN, MOHAMED ABDELRAHIM
author_sort MOHAMED OSMAN, MOHAMED ABDELRAHIM
title MUL TIVARJABLE CLOSED-LOOP SYSTEM IDENTIFICATION USING ITERATIVE LEAKY LEAST MEAN SQUARES METHOD
title_short MUL TIVARJABLE CLOSED-LOOP SYSTEM IDENTIFICATION USING ITERATIVE LEAKY LEAST MEAN SQUARES METHOD
title_full MUL TIVARJABLE CLOSED-LOOP SYSTEM IDENTIFICATION USING ITERATIVE LEAKY LEAST MEAN SQUARES METHOD
title_fullStr MUL TIVARJABLE CLOSED-LOOP SYSTEM IDENTIFICATION USING ITERATIVE LEAKY LEAST MEAN SQUARES METHOD
title_full_unstemmed MUL TIVARJABLE CLOSED-LOOP SYSTEM IDENTIFICATION USING ITERATIVE LEAKY LEAST MEAN SQUARES METHOD
title_sort mul tivarjable closed-loop system identification using iterative leaky least mean squares method
publishDate 2016
url http://utpedia.utp.edu.my/18328/1/2016%20-CHEMICAL%20-%20MULTIVARIABLE%20CLOSED-LOOP%20SYSTEM%20IDENTIFICATION%20USING%20ITERATIVE%20LEAKY%20LEAST%20MEAN%20SQUARES%20METHOD%20-%20MOHAMED%20ABDELRAHIM%20MOHAMED%20OSMAN.pdf
http://utpedia.utp.edu.my/18328/
_version_ 1741195331431825408
score 11.62408

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