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  4. On the Input Design for Data-Driven Correlation-Based Tuning of Multivariable Controllers
 
conference paper

On the Input Design for Data-Driven Correlation-Based Tuning of Multivariable Controllers

Miskovic, Ljubisa  
•
Karimi, Alireza  
•
Bonvin, Dominique  
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2006
IFAC Proceedings Volumes
XIV IFAC Symposium on System Identification

An iterative data-driven correlation-based method has been proposed recently to tune multivariable linear time-invariant controllers in closed-loop operation. In this contribution, the preferred way of exciting a 2 × 2 system is investigated via the accuracy of the estimated controller parameters. It is shown that simultaneous excitation of both reference signals does not improve the accuracy of the estimated controller parameters compared to the case with a single reference. In fact, onemust choose between low experimental cost (simultaneous excitation) and better accuracy of the estimated parameters (single reference).

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Type
conference paper
DOI
10.3182/20060329-3-AU-2901.00177
Author(s)
Miskovic, Ljubisa  
Karimi, Alireza  
Bonvin, Dominique  
Gevers, Michel
Date Issued

2006

Published in
IFAC Proceedings Volumes
Volume

39

Issue

1

Start page

1103

End page

1108

Subjects

Data-driven controller tuning

•

closed-loop identification

•

analysis of variance

•

decoupling control

URL

URL

http://www.sysid2006.org
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LA  
LCSB  
Event nameEvent placeEvent date
XIV IFAC Symposium on System Identification

Newcastle, Australia

29-31.03.2006

Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/221824
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