eprintid: 1361
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/13/61
datestamp: 2023-11-09 15:49:31
lastmod: 2023-11-09 15:49:31
status_changed: 2023-11-09 15:39:34
type: article
metadata_visibility: show
creators_name: Tufa, L.D.
creators_name: Ramasamy, M.
creators_name: Shuhaimi, M.
title: Closed-loop system identification using OBF-ARMAX model
ispublished: pub
keywords: Adaptive control systems; Closed loop systems; Feedback; Feedback control; Identification (control systems), ARMAX; Closed loop identification; Feedback controller; Identification scheme; Model parameters; Multi-step-ahead predictions; Open loop unstable process; Open loop unstable systems, Closed loop control systems
note: cited By 4
abstract: Closed-loop identification scheme using OBF-ARMAX model structure is presented. The proposed structure can be used to identify both open-loop stable and open-loop unstable processes that are stabilized by a feedback controller. The algorithm for estimating the model parameters and the formula for the multi-step ahead prediction are derived. The proposed identification scheme is demonstrated using two simulation case studies: One for open-loop stable and another for open-loop unstable. Both case studies demonstrate that the proposed scheme can be effectively used for closed-loop identification of both open-loop stable and open-loop unstable systems that are stabilized by a feedback control system. © 2010 Asian Network for Scientific Information.
date: 2010
publisher: Asian Network for Scientific Information
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-78049411949&doi=10.3923%2fjas.2010.3175.3182&partnerID=40&md5=496cb91f131431daee33615f89d2e931
id_number: 10.3923/jas.2010.3175.3182
full_text_status: none
publication: Journal of Applied Sciences
volume: 10
number: 24
pagerange: 3175-3182
refereed: TRUE
issn: 18125654
citation:   Tufa, L.D. and Ramasamy, M. and Shuhaimi, M.  (2010) Closed-loop system identification using OBF-ARMAX model.  Journal of Applied Sciences, 10 (24).  pp. 3175-3182.  ISSN 18125654