Multivariable state-space identification of dissolve oxygen control
This work is proposed to identify a linear time-invariant dynamic model of dissolve oxygen (DO) of a wastewater treatment plants with multilevel pseudo random signals as an excitation input. DO is always known as a main variable in wastewater control. For this purpose, a state-space model that empha...
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Universiti Teknikal Malaysia Melaka
2017
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my.utm.765892018-04-30T13:36:40Z http://eprints.utm.my/id/eprint/76589/ Multivariable state-space identification of dissolve oxygen control Samsudin, S. I. Md. Salim, S. I. Rahmat, M. F. Wahab, N. A. Sulaiman, M. H. TK Electrical engineering. Electronics Nuclear engineering This work is proposed to identify a linear time-invariant dynamic model of dissolve oxygen (DO) of a wastewater treatment plants with multilevel pseudo random signals as an excitation input. DO is always known as a main variable in wastewater control. For this purpose, a state-space model that emphasize on numerical subspace state-space system identification (N4SID) is applied. The works include the development of perturbation input signals, Identifying the estimation model continued by validating the model performances by Variance Accounted For and mean relative squared error. It was observed that the estimated model with multilevel input offers good predicted behavior's compared to two-level pseudo random binary input signal. Benchmark Simulation Model BSM1 was applied as data generator for identification procedures. Universiti Teknikal Malaysia Melaka 2017 Article PeerReviewed Samsudin, S. I. and Md. Salim, S. I. and Rahmat, M. F. and Wahab, N. A. and Sulaiman, M. H. (2017) Multivariable state-space identification of dissolve oxygen control. Journal of Telecommunication, Electronic and Computer Engineering, 9 (1-5). pp. 125-129. ISSN 2180-1843 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020794806&partnerID=40&md5=ce24fdf115b471a6201a242362d82ff6 |
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TK Electrical engineering. Electronics Nuclear engineering Samsudin, S. I. Md. Salim, S. I. Rahmat, M. F. Wahab, N. A. Sulaiman, M. H. Multivariable state-space identification of dissolve oxygen control |
description |
This work is proposed to identify a linear time-invariant dynamic model of dissolve oxygen (DO) of a wastewater treatment plants with multilevel pseudo random signals as an excitation input. DO is always known as a main variable in wastewater control. For this purpose, a state-space model that emphasize on numerical subspace state-space system identification (N4SID) is applied. The works include the development of perturbation input signals, Identifying the estimation model continued by validating the model performances by Variance Accounted For and mean relative squared error. It was observed that the estimated model with multilevel input offers good predicted behavior's compared to two-level pseudo random binary input signal. Benchmark Simulation Model BSM1 was applied as data generator for identification procedures. |
format |
Article |
author |
Samsudin, S. I. Md. Salim, S. I. Rahmat, M. F. Wahab, N. A. Sulaiman, M. H. |
author_facet |
Samsudin, S. I. Md. Salim, S. I. Rahmat, M. F. Wahab, N. A. Sulaiman, M. H. |
author_sort |
Samsudin, S. I. |
title |
Multivariable state-space identification of dissolve oxygen control |
title_short |
Multivariable state-space identification of dissolve oxygen control |
title_full |
Multivariable state-space identification of dissolve oxygen control |
title_fullStr |
Multivariable state-space identification of dissolve oxygen control |
title_full_unstemmed |
Multivariable state-space identification of dissolve oxygen control |
title_sort |
multivariable state-space identification of dissolve oxygen control |
publisher |
Universiti Teknikal Malaysia Melaka |
publishDate |
2017 |
url |
http://eprints.utm.my/id/eprint/76589/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020794806&partnerID=40&md5=ce24fdf115b471a6201a242362d82ff6 |
_version_ |
1643657353619308544 |
score |
13.250246 |