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Robust Control of Identified Models with Mixed Parametric and Non-Parametric Uncertainties
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2000 (English)Report (Other academic)
Abstract [en]

A straightforward framework for identification oriented robust controller design is presented. The model set, directly identified from data, is based on model error modeling and model validation techniques. The set of all robustly stabilizing controllers, that additionally guarantee robust performance, is characterized by a system of second order cones, which can be efficiently solved using interior point algorithms. We illustrate the proposed method and the choice of the parameters with an example. Moreover, the interplay between identification and controller design can be analyzed in this framework.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2000. , 15 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2319
Keyword [en]
Identication for Control, Model Error Modeling, Robust Stability and Performance, Rank One Uncertainties.
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-55765ISRN: LiTH-ISY-R-2319OAI: oai:DiVA.org:liu-55765DiVA: diva2:316567
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2014-10-03Bibliographically approved

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Ljung, Lennart

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • 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