DocumentCode :
424962
Title :
Fitting controllers to data: the MIMO case
Author :
Cabral, Fabricio B. ; Safonov, Michael G.
Author_Institution :
Departamento de Engenharia Eletrica, Instituto Militar de Engenharia, Rio de Janeiro, Brazil
Volume :
5
fYear :
2004
fDate :
June 30 2004-July 2 2004
Firstpage :
4499
Abstract :
The problem of optimally fitting controllers to data is examined for the identification of a controller from a given class of MIMO controllers used in model reference adaptive control. The problem of identifying a MIMO controller from this class is formulated. This formulation leads to an optimization problem where a best 2 nm/sup 2/ x m matrix of parameters is looked for. It is proved that the solution to this problem can be given in terms of the solution of an optimization problem where a best 2 nm/sup 2/ /spl times/ 1 vector of parameters is looked for, which has already been solved for the SISO case. Simulations are provided for an example which has appeared a few times in the model reference adaptive control literature. The formulation and solution of this problem illustrates a unifying link between the design of model reference adaptive control for SISO and MIMO linear systems.
Keywords :
MIMO systems; identification; linear systems; model reference adaptive control systems; optimal control; optimisation; MIMO controller; MIMO linear system; SISO case; controller fitting; model reference adaptive control; optimal control; optimization problem;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2004. Proceedings of the 2004
Conference_Location :
Boston, MA, USA
ISSN :
0743-1619
Print_ISBN :
0-7803-8335-4
Type :
conf
Filename :
1384019
Link To Document :
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