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U-Model based online identification of Air Flow Plant

A key and critical challenge in Industrial processes is real-time system identification. This has prompted a lot of research efforts towards the development of model based adaptive identification methods. Their key advantage is that system parameters are tuned adaptively and online. This paper propo...

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Main Authors: Hasan, E., Bin Ibrahim, R., Ali, S.S.A., Miya, H.S., Gilani, S.F.
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015821813&doi=10.1109%2fROMA.2016.7847809&partnerID=40&md5=6d214cfd51582eaf2d659c63abe19b31
http://eprints.utp.edu.my/20141/
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spelling my.utp.eprints.201412018-04-22T14:43:07Z U-Model based online identification of Air Flow Plant Hasan, E. Bin Ibrahim, R. Ali, S.S.A. Miya, H.S. Gilani, S.F. A key and critical challenge in Industrial processes is real-time system identification. This has prompted a lot of research efforts towards the development of model based adaptive identification methods. Their key advantage is that system parameters are tuned adaptively and online. This paper proposes online identification of Air Flow Plant using adaptive U-Model. The recently developed model is based on a polynomial structure. It adaptively corresponds to uncertain system parameters to adjust them online. U-Model method has shown promising results in terms of system identification. The proposed method is verified by simulation. Being control oriented in nature, an effective control strategy based upon U-Model can easily be developed. © 2016 IEEE. Institute of Electrical and Electronics Engineers Inc. 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015821813&doi=10.1109%2fROMA.2016.7847809&partnerID=40&md5=6d214cfd51582eaf2d659c63abe19b31 Hasan, E. and Bin Ibrahim, R. and Ali, S.S.A. and Miya, H.S. and Gilani, S.F. (2017) U-Model based online identification of Air Flow Plant. 2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016 . http://eprints.utp.edu.my/20141/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description A key and critical challenge in Industrial processes is real-time system identification. This has prompted a lot of research efforts towards the development of model based adaptive identification methods. Their key advantage is that system parameters are tuned adaptively and online. This paper proposes online identification of Air Flow Plant using adaptive U-Model. The recently developed model is based on a polynomial structure. It adaptively corresponds to uncertain system parameters to adjust them online. U-Model method has shown promising results in terms of system identification. The proposed method is verified by simulation. Being control oriented in nature, an effective control strategy based upon U-Model can easily be developed. © 2016 IEEE.
format Article
author Hasan, E.
Bin Ibrahim, R.
Ali, S.S.A.
Miya, H.S.
Gilani, S.F.
spellingShingle Hasan, E.
Bin Ibrahim, R.
Ali, S.S.A.
Miya, H.S.
Gilani, S.F.
U-Model based online identification of Air Flow Plant
author_facet Hasan, E.
Bin Ibrahim, R.
Ali, S.S.A.
Miya, H.S.
Gilani, S.F.
author_sort Hasan, E.
title U-Model based online identification of Air Flow Plant
title_short U-Model based online identification of Air Flow Plant
title_full U-Model based online identification of Air Flow Plant
title_fullStr U-Model based online identification of Air Flow Plant
title_full_unstemmed U-Model based online identification of Air Flow Plant
title_sort u-model based online identification of air flow plant
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015821813&doi=10.1109%2fROMA.2016.7847809&partnerID=40&md5=6d214cfd51582eaf2d659c63abe19b31
http://eprints.utp.edu.my/20141/
_version_ 1738656169489072128
score 13.211869

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