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research article

Fixed-Order H-infinity Controller Design via Convex Optimization Using an Alternative to Youla Prameterization

Khatibi, Hamid
•
Karimi, Alireza  
2010
IEEE Transactions on Automatic Control

All H-infinity controllers of a SISO LTI system are parameterized thanks to the relation between Bounded Real Lemma and Positive Real Lemma and a new concept of strict positive realness of two transfer functions with the same Lyapunov matrix in the matrix inequality of the Kalman-Yakubovic-Popov lemma. This new parameterization shares the same features with Youla parameterization, namely on the convexity of H-infinity norm constraints for the closed-loop transfer functions. However, in contrary to Youla parameterization, it can deal with any controller order and any controller structure such as e.g. PID. The main feature of the proposed method is that it can be extended easily for the systems with polytopic uncertainty. This way, a convex inner approximation of all H-infinity controllers for polytopic systems is given, which can be enlarged by increasing the controller order. In order to design a low-order robust H-infinity controller with less conservatism, rank of the k-th Sylvester resultant matrix of the controller is made to be deficient via a convex approximation of the rank minimization problem. The effectiveness of the proposed method is shown via simulation results.

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Type
research article
DOI
10.1109/TAC.2010.2050709
Web of Science ID

WOS:000283247500012

Author(s)
Khatibi, Hamid
Karimi, Alireza  
Date Issued

2010

Publisher

Institute of Electrical and Electronics Engineers

Published in
IEEE Transactions on Automatic Control
Volume

55

Issue

9

Start page

2119

End page

2123

Subjects

Robust control

•

convex optimization

•

polytopic uncertainty

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LA  
Available on Infoscience
May 11, 2009
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/38867
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