DocumentCode
3440195
Title
On optimal input design in system identification for model predictive control
Author
Larsson, Christian A. ; Annergren, Mariette ; Hjalmarsson, Håkan
Author_Institution
Autom. Control Lab. & ACCESS, KTH, Stockholm, Sweden
fYear
2011
fDate
12-15 Dec. 2011
Firstpage
805
Lastpage
810
Abstract
This paper considers a method for optimal input design in system identification for model predictive control. The objective is to provide the user with a model that guarantees, with high probability, that a specified control performance is achieved. We see that, even though the system is nonlinear, using linear theory in the input design can reduce the experimental effort. The method is illustrated in a minimum power input signal design in identification of a water tank system.
Keywords
control system synthesis; linear systems; nonlinear control systems; optimal control; predictive control; reservoirs; linear theory; model predictive control; nonlinear control system; optimal input design; probability; system identification; water tank system; Approximation methods; Degradation; Mathematical model; Process control; Storage tanks; Vectors; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
Conference_Location
Orlando, FL
ISSN
0743-1546
Print_ISBN
978-1-61284-800-6
Electronic_ISBN
0743-1546
Type
conf
DOI
10.1109/CDC.2011.6161156
Filename
6161156
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