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conference paper

Data-driven controller tuning with integrated stability constraint

van Heusden, Klaske
•
Karimi, Alireza  
•
Bonvin, Dominique  
2008
47th IEEE Conference on Decision and Control
47th IEEE Conference on Decision and Control

This paper presents a data-driven controller-tuning algorithm that includes a sufficient condition for closed-loop stability. This stability condition is defined by a set of convex constraints on the Fourier transform of specific auto- and cross-correlation functions. The constraints are included in a correlation-based controller-tuning method that solves a model-reference problem. This entirely data-driven method requires a single experiment and can also be applied to nonminimum-phase and unstable systems. The resulting controller is guaranteed to stabilize the plant as the data length tends to infinity. The performance with finite data length is illustrated through a simulation example.

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Type
conference paper
DOI
10.1109/CDC.2008.4739326
Author(s)
van Heusden, Klaske
Karimi, Alireza  
Bonvin, Dominique  
Date Issued

2008

Publisher

IEEE

Published in
47th IEEE Conference on Decision and Control
Start page

2612

End page

2617

Subjects

Data-driven controller tuning

•

Correlation approach

•

Stability

URL

URL

http://control.disp.uniroma2.it/CDC08/
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LA  
Event nameEvent placeEvent date
47th IEEE Conference on Decision and Control

Cancun, Mexico

December 9-11 2008

Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/27672
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