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

dc.contributor.authorBolton, Roland Leslie John
dc.date.accessioned2016-08-16T12:04:47Z
dc.date.available2016-08-16T12:04:47Z
dc.date.issued2016-08-16
dc.descriptionA 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 1997en_ZA
dc.description.abstractThis 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.urihttp://hdl.handle.net/10539/20870
dc.language.isoenen_ZA
dc.subject.lcshPredictive control--Mathematical models.
dc.subject.lcshSignal processing--Digital techniques|xMathematics
dc.titleA modular approach to model predictive control linking classical and predictive control conceptsen_ZA
dc.typeThesisen_ZA

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