Dynamic matrix controller design and optimization based on a MIMO double-effect pilot plant model

Dynamic matrix controller design and optimization based on a MIMO double-effect pilot plant model

Dynamic Matrix Control (DMC) has developed considerably over the last two decades, both within the research control community and in the industry. The reason for this success can be attributed to the fact that it is, perhaps, the most general way of posing the process control problem in the time dom...

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Main Author: Lim, Chek Chee.
Other Authors: School of Electrical and Electronic Engineering
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Online Access:http://hdl.handle.net/10356/4654
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-46542023-07-04T15:21:50Z Dynamic matrix controller design and optimization based on a MIMO double-effect pilot plant model Lim, Chek Chee. School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Dynamic Matrix Control (DMC) has developed considerably over the last two decades, both within the research control community and in the industry. The reason for this success can be attributed to the fact that it is, perhaps, the most general way of posing the process control problem in the time domain. DMC formulation integrates optimal control, control of process with dead time, multivariable control and future references when available. Another advantage of DMC is that because of the finite control horizon used, constraints and in general non-linear processes which are frequently found in the industry, can be handled. Master of Science (Computer Control and Automation) 2008-09-17T09:56:01Z 2008-09-17T09:56:01Z 2000 2000 Thesis http://hdl.handle.net/10356/4654 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Lim, Chek Chee.
Dynamic matrix controller design and optimization based on a MIMO double-effect pilot plant model
description Dynamic Matrix Control (DMC) has developed considerably over the last two decades, both within the research control community and in the industry. The reason for this success can be attributed to the fact that it is, perhaps, the most general way of posing the process control problem in the time domain. DMC formulation integrates optimal control, control of process with dead time, multivariable control and future references when available. Another advantage of DMC is that because of the finite control horizon used, constraints and in general non-linear processes which are frequently found in the industry, can be handled.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Lim, Chek Chee.
format Theses and Dissertations
author Lim, Chek Chee.
author_sort Lim, Chek Chee.
title Dynamic matrix controller design and optimization based on a MIMO double-effect pilot plant model
title_short Dynamic matrix controller design and optimization based on a MIMO double-effect pilot plant model
title_full Dynamic matrix controller design and optimization based on a MIMO double-effect pilot plant model
title_fullStr Dynamic matrix controller design and optimization based on a MIMO double-effect pilot plant model
title_full_unstemmed Dynamic matrix controller design and optimization based on a MIMO double-effect pilot plant model
title_sort dynamic matrix controller design and optimization based on a mimo double-effect pilot plant model
publishDate 2008
url http://hdl.handle.net/10356/4654
_version_ 1772826789034328064

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