DocumentCode :
1282537
Title :
Duality in multiplier-based robustness analysis
Author :
Jönsson, Ulf
Author_Institution :
MIT, Cambridge, MA, USA
Volume :
44
Issue :
12
fYear :
1999
fDate :
12/1/1999 12:00:00 AM
Firstpage :
2246
Lastpage :
2256
Abstract :
Frequency domain conditions involving multipliers are useful for robustness analysis. The resulting analysis problem is generally convex, but infinite-dimensional and numerical solutions restricted to finite-dimensional subspaces need to be considered. The resulting finite-dimensional problem can be transformed into a linear matrix inequality, which can be solved using efficient algorithms. The paper presents a format for the dual of the infinite-dimensional problem. The dual problem can be used to estimate the conservatism of particular finite-dimensional subspaces
Keywords :
control system analysis; duality (mathematics); frequency-domain analysis; matrix algebra; optimisation; robust control; transfer functions; conservatism; duality; finite-dimensional subspaces; frequency domain conditions; infinite-dimensional problem; linear matrix inequality; multiplier-based robustness analysis; Constraint optimization; Couplings; Frequency domain analysis; Linear matrix inequalities; MIMO; Robustness; System testing; Transfer functions; Uncertainty; Vectors;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/9.811207
Filename :
811207
Link To Document :
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