DocumentCode :
643063
Title :
Robust performance analysis: A review of techniques for dealing with infinite dimensional LMIs
Author :
Knoblach, Andreas ; Assanimoghaddam, Mehran ; Pfifer, Harald ; Saupe, Florian
Author_Institution :
German Aero Space Center (DLR), Inst. of Syst. Dynamics & Control, Wessling, Germany
fYear :
2013
fDate :
28-30 Aug. 2013
Firstpage :
972
Lastpage :
977
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.
Keywords :
linear matrix inequalities; matrix multiplication; robust control; Matlab; aeroelastic system; full block S-procedure; gridding based approximation; infinite dimensional LMIs; infinite dimensional linear matrix inequalities; linear fractional representation based relaxation; multipliers; polytopic relaxation; robust control toolbox; robust performance analysis; Approximation methods; Atmospheric modeling; Benchmark testing; Mathematical model; Performance analysis; Robustness; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications (CCA), 2013 IEEE International Conference on
Conference_Location :
Hyderabad
ISSN :
1085-1992
Type :
conf
DOI :
10.1109/CCA.2013.6662877
Filename :
6662877
Link To Document :
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