A modular approach to model predictive control linking classical and predictive control concepts

A thesis submitted to the Faculty of Engineering, University of the Witwatersrand, Johannesburg, in fulfilment of the requirements for the degree of Doctor of Philosophy Johannesburg, October 1997 === This thesis develops and investigates signal processing models that are useful both for interpre...

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Main Author: Bolton, Roland Leslie John
Format: Others
Language:en
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10539/20870
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-wits-oai-wiredspace.wits.ac.za-10539-208702019-05-11T03:41:54Z A modular approach to model predictive control linking classical and predictive control concepts Bolton, Roland Leslie John Predictive control--Mathematical models. Signal processing--Digital techniques|xMathematics A thesis submitted to the Faculty of Engineering, University of the Witwatersrand, Johannesburg, in fulfilment of the requirements for the degree of Doctor of Philosophy Johannesburg, October 1997 This thesis develops and investigates signal processing models that are useful both for interpreting and implementing certain types of Model Predictive Control. Two types of Model Predictive Control are investigated, namely, techniques based on Internal Model Control and Long Range Predictive Control. [Abbreviated abstract. Open document to view full version]. 2016-08-16T12:04:47Z 2016-08-16T12:04:47Z 2016-08-16 Thesis http://hdl.handle.net/10539/20870 en application/pdf application/pdf
collection NDLTD
language en
format Others
sources NDLTD
topic Predictive control--Mathematical models.
Signal processing--Digital techniques|xMathematics
spellingShingle Predictive control--Mathematical models.
Signal processing--Digital techniques|xMathematics
Bolton, Roland Leslie John
A modular approach to model predictive control linking classical and predictive control concepts
description A thesis submitted to the Faculty of Engineering, University of the Witwatersrand, Johannesburg, in fulfilment of the requirements for the degree of Doctor of Philosophy Johannesburg, October 1997 === This thesis develops and investigates signal processing models that are useful both for interpreting and implementing certain types of Model Predictive Control. Two types of Model Predictive Control are investigated, namely, techniques based on Internal Model Control and Long Range Predictive Control. [Abbreviated abstract. Open document to view full version].
author Bolton, Roland Leslie John
author_facet Bolton, Roland Leslie John
author_sort Bolton, Roland Leslie John
title A modular approach to model predictive control linking classical and predictive control concepts
title_short A modular approach to model predictive control linking classical and predictive control concepts
title_full A modular approach to model predictive control linking classical and predictive control concepts
title_fullStr A modular approach to model predictive control linking classical and predictive control concepts
title_full_unstemmed A modular approach to model predictive control linking classical and predictive control concepts
title_sort modular approach to model predictive control linking classical and predictive control concepts
publishDate 2016
url http://hdl.handle.net/10539/20870
work_keys_str_mv AT boltonrolandlesliejohn amodularapproachtomodelpredictivecontrollinkingclassicalandpredictivecontrolconcepts
AT boltonrolandlesliejohn modularapproachtomodelpredictivecontrollinkingclassicalandpredictivecontrolconcepts
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