Multivariable predictive control of a distillation column
In this thesis, a state space version of Generalized Predictive Control (GPC) is studied. The main feature of this scheme is the use of the Deterministic Least Squares framework for both the controller and the state estimator designs.
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sg-ntu-dr.10356-48682023-07-04T15:22:09Z Multivariable predictive control of a distillation column Cai, Yue Bin Ling, Keck Voon School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering In this thesis, a state space version of Generalized Predictive Control (GPC) is studied. The main feature of this scheme is the use of the Deterministic Least Squares framework for both the controller and the state estimator designs. Master of Science (Computer Control and Automation) 2008-09-17T10:00:15Z 2008-09-17T10:00:15Z 2002 2002 Thesis http://hdl.handle.net/10356/4868 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Cai, Yue Bin Multivariable predictive control of a distillation column |
description |
In this thesis, a state space version of Generalized Predictive Control (GPC) is studied. The main feature of this scheme is the use of the Deterministic Least Squares framework for both the controller and the state estimator designs. |
author2 |
Ling, Keck Voon |
author_facet |
Ling, Keck Voon Cai, Yue Bin |
format |
Theses and Dissertations |
author |
Cai, Yue Bin |
author_sort |
Cai, Yue Bin |
title |
Multivariable predictive control of a distillation column |
title_short |
Multivariable predictive control of a distillation column |
title_full |
Multivariable predictive control of a distillation column |
title_fullStr |
Multivariable predictive control of a distillation column |
title_full_unstemmed |
Multivariable predictive control of a distillation column |
title_sort |
multivariable predictive control of a distillation column |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/4868 |
_version_ |
1772829011863404544 |