Robust performance analysis: A review of techniques for dealing with infinite dimensional LMIs

Andreas Knoblach, Mehran Assanimoghaddam, Harald Pfifer, Florian Saupe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

This paper compares three techniques for dealing with infinite dimensional linear matrix inequalities (LMIs) for robust performance analysis: the gridding based approximation, the polytopic relaxation and the linear fractional representation based relaxation. The latter draws on the Full Block S-Procedure with different types of multipliers. All three techniques are applied in two benchmark studies at the example of an aeroelastic system. The studies are backed up by results from the Robust Control Toolbox for Matlab.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Control Applications, CCA 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages972-977
Number of pages6
ISBN (Print)9781479915590
DOIs
StatePublished - 2013
Event2013 IEEE International Conference on Control Applications, CCA 2013 - Hyderabad, India
Duration: Aug 28 2013Aug 30 2013

Publication series

NameProceedings of the IEEE International Conference on Control Applications

Other

Other2013 IEEE International Conference on Control Applications, CCA 2013
CountryIndia
CityHyderabad
Period8/28/138/30/13

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