A modular approach to model predictive control linking classical and predictive control concepts
dc.contributor.author | Bolton, Roland Leslie John | |
dc.date.accessioned | 2016-08-16T12:04:47Z | |
dc.date.available | 2016-08-16T12:04:47Z | |
dc.date.issued | 2016-08-16 | |
dc.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 | en_ZA |
dc.description.abstract | 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]. | |
dc.identifier.uri | http://hdl.handle.net/10539/20870 | |
dc.language.iso | en | en_ZA |
dc.subject.lcsh | Predictive control--Mathematical models. | |
dc.subject.lcsh | Signal processing--Digital techniques|xMathematics | |
dc.title | A modular approach to model predictive control linking classical and predictive control concepts | en_ZA |
dc.type | Thesis | en_ZA |
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