DocumentCode
294963
Title
On duality in robustness analysis
Author
Jönsson, Ulf ; Rantzer, Anders
Author_Institution
Dept. of Autom. Control, Lund Inst. of Technol., Sweden
Volume
2
fYear
1995
fDate
13-15 Dec 1995
Firstpage
1443
Abstract
Frequency domain conditions involving multipliers is a powerful tool for robustness analysis. The resulting analysis problem is generally infinite dimensional and numerical solutions restricted to finite dimensional subspaces need to be considered. The finite dimensional problem can be transformed to a linear matrix inequality, which can be solved with efficient algorithms. This paper presents a format for the dual of the infinite dimensional problem. The dual can be used to investigate if the primal robustness problem is feasible. It can also be used to estimate the conservatism of a particular finite dimensional subspace of the primal
Keywords
control system analysis; duality (mathematics); frequency-domain analysis; matrix algebra; multidimensional systems; robust control; conservatism; duality; finite dimensional subspaces; frequency domain conditions; infinite dimensional problem; linear matrix inequality; primal robustness problem; robustness analysis; Feedback; Frequency domain analysis; Linear matrix inequalities; MIMO; Robust control; Robustness; Stability; System testing; Time varying systems; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location
New Orleans, LA
ISSN
0191-2216
Print_ISBN
0-7803-2685-7
Type
conf
DOI
10.1109/CDC.1995.480305
Filename
480305
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