Comparison study and auto-tuning Smith predictor
Smith predictor, a predictive compensator, is one of the most effective and prevalent method that is capable to controlling processes with time delay. Many improved and adjusted schemes have been developed to further improve the set point tracking and disturbance rejection performances, whereas less...
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sg-ntu-dr.10356-37342023-07-04T16:21:02Z Comparison study and auto-tuning Smith predictor Win Le Kyaw. Cai, Wenjian School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation Smith predictor, a predictive compensator, is one of the most effective and prevalent method that is capable to controlling processes with time delay. Many improved and adjusted schemes have been developed to further improve the set point tracking and disturbance rejection performances, whereas less work is available for comparison studies. This thesis presents the progress of development of Smith predictor. Master of Science (Computer Control and Automation) 2008-09-17T09:36:19Z 2008-09-17T09:36:19Z 2004 2004 Thesis http://hdl.handle.net/10356/3734 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation Win Le Kyaw. Comparison study and auto-tuning Smith predictor |
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Smith predictor, a predictive compensator, is one of the most effective and prevalent method that is capable to controlling processes with time delay. Many improved and adjusted schemes have been developed to further improve the set point tracking and disturbance rejection performances, whereas less work is available for comparison studies. This thesis presents the progress of development of Smith predictor. |
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Cai, Wenjian |
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Cai, Wenjian Win Le Kyaw. |
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Theses and Dissertations |
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Win Le Kyaw. |
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Win Le Kyaw. |
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Comparison study and auto-tuning Smith predictor |
title_short |
Comparison study and auto-tuning Smith predictor |
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Comparison study and auto-tuning Smith predictor |
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Comparison study and auto-tuning Smith predictor |
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Comparison study and auto-tuning Smith predictor |
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comparison study and auto-tuning smith predictor |
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2008 |
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http://hdl.handle.net/10356/3734 |
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1772826438775341056 |