Self-tuning Smith predictors for processes with long dead time

International Journal of Adaptive Control and Signal Processing

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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/10635/62750
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-627502015-02-27T09:01:04Z 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 2014-06-17T06:54:27Z 2014-06-17T06:54:27Z 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/10635/62750 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/10635/62750
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