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Generalised predictive control : a study and application

Includes bibliographical references.

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Bibliographic Details
Main Author: Prince, Karl John
Other Authors: Braae, Martin
Format: Thesis
Language:English
Published: Department of Electrical Engineering 2014
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access_status_str Open Access
author Prince, Karl John
author2 Braae, Martin
author_browse Braae, Martin
Prince, Karl John
author_facet Braae, Martin
Prince, Karl John
author_sort Prince, Karl John
collection Thesis
description Includes bibliographical references.
format Thesis
id oai:open.uct.ac.za:11427/9227
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:39:36.576Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Electrical Engineering
publisherStr Department of Electrical Engineering
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/9227 Generalised predictive control : a study and application Prince, Karl John Braae, Martin Electrical Engineering Includes bibliographical references. This dissertation investigates the Generalised Predictive Control (GPC) method derived by Clarke, Mohtadi and Tuffs in the mid eighties. GPC is an adaptive predictive control algorithm, of which there are number, and has proven to be one of the more popular variants having been applied to various control applications. The theory of the GPC method is studied in detail and a computer simulation program has been written for analyses. While the theory is perhaps not straightforward the actual use of GPC is quite easy. There are 'tuning knobs' available which provide a simple means of tuning the response to match specifications.The GPC method is extended to an overall Long-Range Predictive Control (LRPC) method using the Long-Range Predictive Identification (LRPI) developed by Shook, Mohtadi and Shah in the early nineties. The new identification algorithm replaces the recursive least squares (RLS) used in the original GPC and is essentially a duplicate of the control law. The effect of using LRPI as opposed to RLS is investigated theoretically by use of the simulator. In the simulations carried out comparison of the GPC and LRPC responses depended on the GPC parameters employed. On the whole the LRPI scheme improved the responses though, especially when disturbances and model changes were investigated. 2014-11-05T17:19:23Z 2014-11-05T17:19:23Z 1996 Master Thesis Masters MSc http://hdl.handle.net/11427/9227 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Electrical Engineering
Prince, Karl John
Generalised predictive control : a study and application
thesis_degree_str Master's
title Generalised predictive control : a study and application
title_full Generalised predictive control : a study and application
title_fullStr Generalised predictive control : a study and application
title_full_unstemmed Generalised predictive control : a study and application
title_short Generalised predictive control : a study and application
title_sort generalised predictive control a study and application
topic Electrical Engineering
url http://hdl.handle.net/11427/9227
work_keys_str_mv AT princekarljohn generalisedpredictivecontrolastudyandapplication