A comparison of the computational efficiency of multi-parametric predictive control using generalised function parameterisations

B. Khan*, J. A. Rossiter

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper considers the computational efficiency of using generalised function parameterisations for multi-parametric quadratic programming (mp-QP) solutions to MPC. Earlier work demonstrated the potential of Laguerre parameterisations for improving com- putational efficiency in that the parametric solutions either required fewer regions and/or gave larger volumes. This paper considers the potential of extending this concept to more general function parameterisations. Specifically the aim is to consider to what extent different function parameterisations affect the parametric solution complexity and feasible volumes. Extensive simulation results which suggest there are indeed benefits from using more general parameterisations than Laguerre.

Original languageEnglish
Title of host publication8th International Symposium on Advanced Control of Chemical Processes, ADCHEM 2012
PublisherIFAC Secretariat
Pages451-456
Number of pages6
Edition15 PART 1
ISBN (Print)9783902823052
DOIs
StatePublished - 2012
Externally publishedYes
Event8th International Symposium on Advanced Control of Chemical Processes, ADCHEM 2012 - Singapore, Singapore
Duration: 10 Jul 201213 Jul 2012

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number15 PART 1
Volume45
ISSN (Print)1474-6670

Conference

Conference8th International Symposium on Advanced Control of Chemical Processes, ADCHEM 2012
Country/TerritorySingapore
CitySingapore
Period10/07/1213/07/12

Keywords

  • Feasibility
  • Generalised function parametrisations
  • Multi-parametric quadratic programming
  • Predictive control

ASJC Scopus subject areas

  • Control and Systems Engineering

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