Title :
Duality in multiplier-based robustness analysis
Author_Institution :
MIT, Cambridge, MA, USA
fDate :
12/1/1999 12:00:00 AM
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;
Journal_Title :
Automatic Control, IEEE Transactions on