MPC for uncertain systems using the Youla parameterizations

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Abstract

Several approaches have been taken in the past to deal with uncertainty in constrained predictive control. The major drawbacks of these efforts are usually either conservativeness and/or on-line computational complexity. In this work we examine the possibility of dealing with uncertainty through the use of the primary and the dual Youla parameterizations. The dual Youla parameter can be seen as a frequency weighted measure of the uncertainty and the primary Youla parameter can be seen as a controller for this uncertainty. The work is an application of the methodology in [12] to constraint control.
Original languageEnglish
Title of host publicationProceedings of the 48th IEEE Conference on Decision and Control
PublisherIEEE
Publication date2008
Pages3421-3426
ISBN (Print)978-1-4244-3124-3
DOIs
Publication statusPublished - 2008
Event47th IEEE Conference on Decision and Control - Fiesta Americana Grand Coral Beach, Cancun, Mexico
Duration: 9 Dec 200811 Dec 2008
Conference number: 47

Conference

Conference47th IEEE Conference on Decision and Control
Number47
LocationFiesta Americana Grand Coral Beach
Country/TerritoryMexico
CityCancun
Period09/12/200811/12/2008

Bibliographical note

Copyright: 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

Keywords

  • Model predictive control
  • Uncertain systems
  • Youla parameterization

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