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Tuning for robustness and performance using iterative feedback tuning

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
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. 10 - 13 Dec 2002. pp. 4682-4687 . (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.

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More information

Published date: 2002
Venue - Dates: Institute of Electrical and Electronics Engineers (IEEE) 41st Conference on Decision and Control, 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

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Date deposited: 05 Jun 2006
Last modified: 15 Jul 2019 19:22

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Contributors

Author: S.M. Veres
Author: H. Hjalmarsson

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