DocumentCode :
1028245
Title :
Multivariable adaptive control using high-frequency gain matrix factorization
Author :
Imai, Alvaro K. ; Costa, Ramon R. ; Hsu, Liu ; Tao, Gang ; Kokotovic, Petar V.
Author_Institution :
Dept. of Electr. Eng., COPPE/UFRJ, Rio de Janeiro, Brazil
Volume :
49
Issue :
7
fYear :
2004
fDate :
7/1/2004 12:00:00 AM
Firstpage :
1152
Lastpage :
1156
Abstract :
In this note, we extend the application of a less restrictive condition about the high-frequency gain matrix to design stable direct model reference adaptive control for a class of multivariable plants with relative degree greater than one. The new approach is based on a control parametrization derived from a factorization of the high-frequency gain matrix Kp in the form of a product of three matrices, one of them being diagonal. Three possible factorizations are presented. Only the signs of the diagonal factor or, equivalently, the signs of the leading principal minors of Kp, are assumed known.
Keywords :
MIMO systems; control system synthesis; matrix decomposition; model reference adaptive control systems; MIMO systems; control parameterization; direct adaptive control; high-frequency gain matrix factorization; model reference adaptive control; multiple-input multiple-output systems; multivariable adaptive control; Adaptive control; Control engineering; Control engineering computing; Hysteresis; Linear systems; Logic; MIMO; Upper bound; Direct adaptive control; MIMO; MRAC; high-frequency gain; matrix factorization; model reference adaptive control; multiple-input–multiple-output; systems;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2004.831134
Filename :
1310471
Link To Document :
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