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State-Space Methods for µ-Analysis
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1994 (English)Report (Other academic)
Abstract [en]

This paper discusses state-space methods for analyzing stability of continuous time linear systems subject to structured uncertainties. Four types of uncertainties are discussed: linear parametric and dynamic uncertainties (real and complex µ) and nonlinear parametric and dynamic uncertainties. The method employs LMIs equipped with a scaling matrix adapted to the type of uncertainty. For parametric uncertainties conservativeness is reduced by branch and bound schemes. Different types of uncertainties can be mixed in this approach. The problem is convex except for the linear dynamic (complex µ) case.

Place, publisher, year, edition, pages
Linköping: Linköping University , 1994. , 15 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 1587
Keyword [sv]
Maskinelement Servomekanismer Automation
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-55173ISRN: LiTH-ISY-R-1587OAI: oai:DiVA.org:liu-55173DiVA: diva2:315807
Available from: 2010-04-29 Created: 2010-04-29 Last updated: 2014-08-26Bibliographically approved

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State-Space Methods for µ-Analysis(182 kB)32 downloads
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Helmersson, Anders

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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
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  • asciidoc
  • rtf