eprintid: 8860
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/88/60
datestamp: 2023-11-09 16:20:47
lastmod: 2023-11-09 16:20:47
status_changed: 2023-11-09 16:13:43
type: conference_item
metadata_visibility: show
creators_name: Hasan, E.
creators_name: Bin Ibrahim, R.
creators_name: Ali, S.S.A.
creators_name: Miya, H.S.
creators_name: Gilani, S.F.
title: U-Model based online identification of Air Flow Plant
ispublished: pub
keywords: Air; Identification (control systems); Interactive computer systems; Manufacture; Process control; Real time systems; Religious buildings; Robotics; Uncertainty analysis, Adaptive; Adaptive identification; Critical challenges; Industrial process control; On-line identification; Polynomial structure; U-model; Uncertain system parameters, Adaptive control systems
note: cited By 4; Conference of 2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016 ; Conference Date: 25 September 2016 Through 27 September 2016; Conference Code:126431
abstract: 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.
date: 2017
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015821813&doi=10.1109%2fROMA.2016.7847809&partnerID=40&md5=6d214cfd51582eaf2d659c63abe19b31
id_number: 10.1109/ROMA.2016.7847809
full_text_status: none
publication: 2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016
refereed: TRUE
isbn: 9781509009282
citation:   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.