Tuning for robustness and performance using iterative feedback tuning
Tuning for robustness and performance using iterative feedback tuning
Iterative feedback tuning (IFT) is a direct tuning method using closed loop experimental data. The method is based on numerical optimization. In each iteration of the optimisation an unbiased gradient estimate is used. In this contribution the results of are refined and developed further. Improvements are introduced on the optimization procedures of the IFT scheme to allow for joint optimization of non-conflicting criteria of stability robustness and performance. Also the case of weighted additive uncertainty is considered as an alternative to the co-prime factor perturbations as used by Glover and McFarlane (1989). Optimization of the estimate of the H/sub /spl infin// robustness criterion is now based on global optimization to increase reliability.
4682-4687
Veres, S.M.
909c60a0-56a3-4eb6-83e4-d52742ecd304
Hjalmarsson, H.
736842bc-fd41-40a5-9d29-2adcc6c1f4e1
2002
Veres, S.M.
909c60a0-56a3-4eb6-83e4-d52742ecd304
Hjalmarsson, H.
736842bc-fd41-40a5-9d29-2adcc6c1f4e1
Veres, S.M. and Hjalmarsson, H.
(2002)
Tuning for robustness and performance using iterative feedback tuning.
Institute of Electrical and Electronics Engineers (IEEE) 41st Conference on Decision and Control, Las Vegas, USA.
10 - 13 Dec 2002.
.
(doi:10.1109/CDC.2002.1185117).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Iterative feedback tuning (IFT) is a direct tuning method using closed loop experimental data. The method is based on numerical optimization. In each iteration of the optimisation an unbiased gradient estimate is used. In this contribution the results of are refined and developed further. Improvements are introduced on the optimization procedures of the IFT scheme to allow for joint optimization of non-conflicting criteria of stability robustness and performance. Also the case of weighted additive uncertainty is considered as an alternative to the co-prime factor perturbations as used by Glover and McFarlane (1989). Optimization of the estimate of the H/sub /spl infin// robustness criterion is now based on global optimization to increase reliability.
This record has no associated files available for download.
More information
Published date: 2002
Venue - Dates:
Institute of Electrical and Electronics Engineers (IEEE) 41st Conference on Decision and Control, Las Vegas, USA, 2002-12-10 - 2002-12-13
Identifiers
Local EPrints ID: 22277
URI: http://eprints.soton.ac.uk/id/eprint/22277
PURE UUID: ab0857dd-c6cd-4c4b-8a53-7aa059abd24b
Catalogue record
Date deposited: 05 Jun 2006
Last modified: 15 Mar 2024 06:36
Export record
Altmetrics
Contributors
Author:
S.M. Veres
Author:
H. Hjalmarsson
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics