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Towards Joint State Estimation and Control in Minimax MPC
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2001 (English)Report (Other academic)
Abstract [en]

A new approach to minimax MPC for systems with bounded external system disturbances and measurement errors is introduced. It is shown that joint deterministic state estimation and minimax MPC can be written as an optimization problem with linear and quadratic matrix inequalities. By linearizing the quadratic matrix inequality, a semidefinite program is obtained. A simulation study indicates that solving the joint problem can improve performance

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2001. , 11 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2357
Keyword [en]
Predictive control, Robust control, Robust estimation, Minimax, Convex optimization
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-55793ISRN: LiTH-ISY-R-2357OAI: oai:DiVA.org:liu-55793DiVA: diva2:316539
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2014-09-08Bibliographically approved

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Löfberg, Johan

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • modern-language-association-8th-edition
  • vancouver
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  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf