Intermediate Point Norm Optimal Iterative Learning Control
Intermediate Point Norm Optimal Iterative Learning Control
A Norm-Optimal Iterative Learning Control (NOILC) solution is developed for the problem when tracking is only required at a subset of isolated time points along the trial duration. Well-defined convergence properties are presented, along with design guidelines and supporting experimental results using an electromechanical test facility.
3954-3959
Owens, D H
db24b8ef-282b-47c0-9cd2-75e91d312ad7
Freeman, C T
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Dinh Van, T
e97fa755-77f2-4462-a135-10d444bc4db3
10 December 2012
Owens, D H
db24b8ef-282b-47c0-9cd2-75e91d312ad7
Freeman, C T
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Dinh Van, T
e97fa755-77f2-4462-a135-10d444bc4db3
Owens, D H, Freeman, C T and Dinh Van, T
(2012)
Intermediate Point Norm Optimal Iterative Learning Control.
51st IEEE Conference on Decision and Control, Maui, United States.
10 - 13 Dec 2012.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
A Norm-Optimal Iterative Learning Control (NOILC) solution is developed for the problem when tracking is only required at a subset of isolated time points along the trial duration. Well-defined convergence properties are presented, along with design guidelines and supporting experimental results using an electromechanical test facility.
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Published date: 10 December 2012
Venue - Dates:
51st IEEE Conference on Decision and Control, Maui, United States, 2012-12-10 - 2012-12-13
Organisations:
EEE
Identifiers
Local EPrints ID: 341309
URI: http://eprints.soton.ac.uk/id/eprint/341309
PURE UUID: d07e4ee0-355d-4ab3-b310-f8b4bd14d4b5
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Date deposited: 18 Jul 2012 22:14
Last modified: 17 Oct 2022 17:29
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Contributors
Author:
D H Owens
Author:
C T Freeman
Author:
T Dinh Van
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