Reduced order process modelling in self-tuning control

Automatica

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Bibliographic Details
Main Authors:	Hang, C.C., Chin, D.
Other Authors:	ELECTRICAL ENGINEERING
Format:	Article
Published:	2014
Subjects:	deadtime frequency response Model based self-tuning control reduced order model
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/81072
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-81072
record_format	dspace
spelling	sg-nus-scholar.10635-810722015-04-06T10:03:11Z Reduced order process modelling in self-tuning control Hang, C.C. Chin, D. ELECTRICAL ENGINEERING deadtime frequency response Model based self-tuning control reduced order model Automatica 27 3 529-534 ATCAA 2014-10-07T03:04:21Z 2014-10-07T03:04:21Z 1991-05 Article Hang, C.C.,Chin, D. (1991-05). Reduced order process modelling in self-tuning control. Automatica 27 (3) : 529-534. ScholarBank@NUS Repository. 00051098 http://scholarbank.nus.edu.sg/handle/10635/81072 NOT_IN_WOS Scopus
institution	National University of Singapore
building	NUS Library
country	Singapore
collection	ScholarBank@NUS
topic	deadtime frequency response Model based self-tuning control reduced order model
spellingShingle	deadtime frequency response Model based self-tuning control reduced order model Hang, C.C. Chin, D. Reduced order process modelling in self-tuning control
description	Automatica
author2	ELECTRICAL ENGINEERING
author_facet	ELECTRICAL ENGINEERING Hang, C.C. Chin, D.
format	Article
author	Hang, C.C. Chin, D.
author_sort	Hang, C.C.
title	Reduced order process modelling in self-tuning control
title_short	Reduced order process modelling in self-tuning control
title_full	Reduced order process modelling in self-tuning control
title_fullStr	Reduced order process modelling in self-tuning control
title_full_unstemmed	Reduced order process modelling in self-tuning control
title_sort	reduced order process modelling in self-tuning control
publishDate	2014
url	http://scholarbank.nus.edu.sg/handle/10635/81072
_version_	1681089004810797056

Reduced order process modelling in self-tuning control

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