DocumentCode
2181074
Title
Fitting controllers to data
Author
Cabral, Fabricio B. ; Safonov, Michael G.
Author_Institution
Univ. of Southern California, Los Angeles, CA, USA
Volume
1
fYear
1998
fDate
21-26 Jun 1998
Firstpage
589
Abstract
The problem of optimally fitting controllers to data is formulated and solved in the behavioral framework of Willems (1991) expanded to accommodate partial information about signals. This formulation is applied to the case in which the class of controllers considered is the same as the one used in model reference adaptive control problem and in which we minimize the induced norm of the control error. The solution to this problem, besides illustrating an use of the saying “let the data speak” to its extremes, gives a robustness-oriented perspective on model reference adaptive control
Keywords
identification; least squares approximations; model reference adaptive control systems; parameter estimation; robust control; uncertain systems; induced norm; model reference adaptive control; partial information; robustness-oriented perspective; Adaptive control; Behavioral science; Control system synthesis; Error correction; Fitting; Laboratories; Mathematical model; Optimal control; Physics; Robust control;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1998. Proceedings of the 1998
Conference_Location
Philadelphia, PA
ISSN
0743-1619
Print_ISBN
0-7803-4530-4
Type
conf
DOI
10.1109/ACC.1998.694738
Filename
694738
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