Title :
Explicit solution to the singular LQ regulation problem
Author :
Peng, Youbin ; Kinnaert, Michel
Author_Institution :
Lab. d´´Autom., Univ. Libre de Bruxelles, Belgium
fDate :
5/1/1992 12:00:00 AM
Abstract :
An explicit solution to the multivariable discrete linear quadratic (LQ) regulation problem is obtained in the limiting singular case where the input weighting matrix tends to zero. Such a solution follows from a suitable spectral factorization of the input spectrum density matrix under the assumption that the system is stabilizable and detectable and that its transfer function matrix is of full rank. The suitable spectral factor is shown to be the product of the system´s minimum-phase image and its unitary interactor matrix. The unitary interactor matrix defined is a special case of the nilpotent interactor matrix defined by M.W. Rogozinski et al. (1987)
Keywords :
discrete systems; linear systems; matrix algebra; multivariable control systems; optimal control; transfer functions; input spectrum density matrix; input weighting matrix; minimum-phase image; multivariable discrete linear quadratic regulation; singular LQ regulation; spectral factorization; transfer function matrix; unitary interactor matrix; Adaptive control; Automatic control; Covariance matrix; Filters; Poles and zeros; Programmable control; Riccati equations; State feedback; Transfer functions; Virtual manufacturing;
Journal_Title :
Automatic Control, IEEE Transactions on