Title :
Duality theory for MIMO robust disturbance rejection
Author :
Zames, G. ; Owen, J.G.
Author_Institution :
Dept. of Electr. Eng., McGill Univ., Montreal, Que., Canada
fDate :
5/1/1993 12:00:00 AM
Abstract :
Banach space duality theory is used to characterize the solutions of a nonstandard H∞ optimization problem which is shown to be allpass in general and unique in the single-input single-output (SISO) ease. The theory leads to a numerical solution of duality and convex optimization, which is applied to an example. For a limiting case of sharp cutoff filters, an explicit solution of the optimal robust disturbance attenuation problem (ORDAP) resembling the two arc theorem of complex analysis is derived
Keywords :
duality (mathematics); filtering and prediction theory; optimisation; MIMO robust disturbance rejection; banach space; convex optimization; duality theory; nonstandard H∞ optimization; optimal robust disturbance attenuation problem; sharp cutoff filters; two arc theorem; Artificial intelligence; Attenuation; Control systems; Electronic switching systems; Feedback; Filters; MIMO; Noise reduction; Noise robustness; Optimization methods;
Journal_Title :
Automatic Control, IEEE Transactions on