relation: https://khub.utp.edu.my/scholars/8860/
title: U-Model based online identification of Air Flow Plant
creator: Hasan, E.
creator: Bin Ibrahim, R.
creator: Ali, S.S.A.
creator: Miya, H.S.
creator: Gilani, S.F.
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.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2017
type: Conference or Workshop Item
type: PeerReviewed
identifier:   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.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015821813&doi=10.1109%2fROMA.2016.7847809&partnerID=40&md5=6d214cfd51582eaf2d659c63abe19b31
relation: 10.1109/ROMA.2016.7847809
identifier: 10.1109/ROMA.2016.7847809