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Norm optimal iterative learning control with intermediate point weighting: theory, algorithms and experimental evaluation

Norm optimal iterative learning control with intermediate point weighting: theory, algorithms and experimental evaluation
Norm optimal iterative learning control with intermediate point weighting: theory, algorithms and experimental evaluation
This brief considers the iterative learning control(ILC) problem when tracking is only required at a subset of isolated time points along the trial duration. It presents a norm optimal ILC solution to the problem with well-defined convergence properties, design guidelines, and supporting experimental results using an electromechanical test facility.
Iterative learning control (ilc), iterative methods, learning control systems, linear systems, motion control, non-minimum phase systems, optimization methods, test facilities
1063-6536
999-1007
Owens, D.H.
3452e9bb-d3bd-4995-b4bb-424bbd288b09
Freeman, C.T.
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Dinh Van, T.
8656dc1c-405b-4001-a405-42dd074187e5
Owens, D.H.
3452e9bb-d3bd-4995-b4bb-424bbd288b09
Freeman, C.T.
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Dinh Van, T.
8656dc1c-405b-4001-a405-42dd074187e5

Owens, D.H., Freeman, C.T. and Dinh Van, T. (2013) Norm optimal iterative learning control with intermediate point weighting: theory, algorithms and experimental evaluation. IEEE Transactions on Control Systems Technology, 21 (3), 999-1007. (doi:10.1109/TCST.2012.2196281).

Record type: Article

Abstract

This brief considers the iterative learning control(ILC) problem when tracking is only required at a subset of isolated time points along the trial duration. It presents a norm optimal ILC solution to the problem with well-defined convergence properties, design guidelines, and supporting experimental results using an electromechanical test facility.

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Accepted/In Press date: 16 May 2013
e-pub ahead of print date: 16 May 2013
Keywords: Iterative learning control (ilc), iterative methods, learning control systems, linear systems, motion control, non-minimum phase systems, optimization methods, test facilities
Organisations: EEE

Identifiers

Local EPrints ID: 340176
URI: http://eprints.soton.ac.uk/id/eprint/340176
ISSN: 1063-6536
PURE UUID: 6c40c4c0-a669-47ff-9de8-be79737ebef3

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Date deposited: 13 Jun 2012 22:40
Last modified: 02 Dec 2019 20:57

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