Estimation Based Multiple Model Iterative Learning Control
Estimation Based Multiple Model Iterative Learning Control
An iterative learning control (ILC) framework is developed which provides robust stability and performance bounds under the assumption that the true plant model belongs to a plant uncertainty set that is specified by the designer. A set of candidate plant models is defined comprising hypotheses of the ‘true’ plant model, and after each ILC trial the update used is chosen to correspond to the current best plant hypothesis from the observed history via an optimisation based estimation process. A comprehensive design procedure for the switched multiple model ILC system is presented which is applicable to a general class of ILC update.
6075-6080
Freeman, C.T.
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
French, M.
22958f0e-d779-4999-adf6-2711e2d910f8
1 December 2015
Freeman, C.T.
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
French, M.
22958f0e-d779-4999-adf6-2711e2d910f8
Freeman, C.T. and French, M.
(2015)
Estimation Based Multiple Model Iterative Learning Control.
54th IEEE Conference on Decision and Control, , Osaka, Japan.
15 - 18 Dec 2015.
.
Record type:
Conference or Workshop Item
(Other)
Abstract
An iterative learning control (ILC) framework is developed which provides robust stability and performance bounds under the assumption that the true plant model belongs to a plant uncertainty set that is specified by the designer. A set of candidate plant models is defined comprising hypotheses of the ‘true’ plant model, and after each ILC trial the update used is chosen to correspond to the current best plant hypothesis from the observed history via an optimisation based estimation process. A comprehensive design procedure for the switched multiple model ILC system is presented which is applicable to a general class of ILC update.
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Published date: 1 December 2015
Venue - Dates:
54th IEEE Conference on Decision and Control, , Osaka, Japan, 2015-12-15 - 2015-12-18
Organisations:
EEE
Identifiers
Local EPrints ID: 379655
URI: http://eprints.soton.ac.uk/id/eprint/379655
PURE UUID: a6f6ed54-fcac-4d71-83f9-e1e4c45abc93
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Date deposited: 25 Jul 2015 19:36
Last modified: 07 Jan 2022 21:43
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Contributors
Author:
C.T. Freeman
Author:
M. French
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