Self-tuning Smith predictors for processes with long dead time

International Journal of Adaptive Control and Signal Processing

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Bibliographic Details
Main Authors:	Hang, Chang-Chieh, Wang, Qing-Guo, Cao, Li-Sheng
Other Authors:	ELECTRICAL ENGINEERING
Format:	Article
Published:	2014
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/81148
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-81148
record_format	dspace
spelling	sg-nus-scholar.10635-811482015-01-11T20:20:35Z Self-tuning Smith predictors for processes with long dead time Hang, Chang-Chieh Wang, Qing-Guo Cao, Li-Sheng ELECTRICAL ENGINEERING International Journal of Adaptive Control and Signal Processing 9 3 255-270 IACPE 2014-10-07T03:05:10Z 2014-10-07T03:05:10Z 1995-05 Article Hang, Chang-Chieh,Wang, Qing-Guo,Cao, Li-Sheng (1995-05). Self-tuning Smith predictors for processes with long dead time. International Journal of Adaptive Control and Signal Processing 9 (3) : 255-270. ScholarBank@NUS Repository. 08906327 http://scholarbank.nus.edu.sg/handle/10635/81148 NOT_IN_WOS Scopus
institution	National University of Singapore
building	NUS Library
country	Singapore
collection	ScholarBank@NUS
description	International Journal of Adaptive Control and Signal Processing
author2	ELECTRICAL ENGINEERING
author_facet	ELECTRICAL ENGINEERING Hang, Chang-Chieh Wang, Qing-Guo Cao, Li-Sheng
format	Article
author	Hang, Chang-Chieh Wang, Qing-Guo Cao, Li-Sheng
spellingShingle	Hang, Chang-Chieh Wang, Qing-Guo Cao, Li-Sheng Self-tuning Smith predictors for processes with long dead time
author_sort	Hang, Chang-Chieh
title	Self-tuning Smith predictors for processes with long dead time
title_short	Self-tuning Smith predictors for processes with long dead time
title_full	Self-tuning Smith predictors for processes with long dead time
title_fullStr	Self-tuning Smith predictors for processes with long dead time
title_full_unstemmed	Self-tuning Smith predictors for processes with long dead time
title_sort	self-tuning smith predictors for processes with long dead time
publishDate	2014
url	http://scholarbank.nus.edu.sg/handle/10635/81148
_version_	1681089018366787584

Self-tuning Smith predictors for processes with long dead time

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