Initial Input Selection for Iterative Learning Control
Initial Input Selection for Iterative Learning Control
Iterative Learning Control algorithms have been shown to offer a high level of performance both theoretically and in practical applications. However the convergence of the error is generally highly dependent on the initial choice of input applied to the plant. Here techniques are applied which generate an optimal initial input selection, and the effect this has on the error over subsequent trials is examined. The approach is then applied experimentally on a gantry robot test facility.
54504
Freeman, Christopher
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Alsubaie, Muhammad
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Cai, Zhonglun
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Lewin, Paul
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Rogers, Eric
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August 2011
Freeman, Christopher
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Alsubaie, Muhammad
9b05bc31-3ed9-4404-890d-534cad10921e
Cai, Zhonglun
dd8dd525-19a5-4792-a048-617340996afe
Lewin, Paul
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
Rogers, Eric
611b1de0-c505-472e-a03f-c5294c63bb72
Freeman, Christopher, Alsubaie, Muhammad, Cai, Zhonglun, Lewin, Paul and Rogers, Eric
(2011)
Initial Input Selection for Iterative Learning Control.
Journal of Dynamic Systems, Measurement and Control, 133 (5), .
Abstract
Iterative Learning Control algorithms have been shown to offer a high level of performance both theoretically and in practical applications. However the convergence of the error is generally highly dependent on the initial choice of input applied to the plant. Here techniques are applied which generate an optimal initial input selection, and the effect this has on the error over subsequent trials is examined. The approach is then applied experimentally on a gantry robot test facility.
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Published date: August 2011
Organisations:
EEE, Southampton Wireless Group
Identifiers
Local EPrints ID: 267663
URI: http://eprints.soton.ac.uk/id/eprint/267663
ISSN: 0022-0434
PURE UUID: 0154b71a-6694-4671-a5db-b43727a5acaa
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Date deposited: 13 Jul 2009 08:49
Last modified: 11 Dec 2024 02:39
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Contributors
Author:
Christopher Freeman
Author:
Muhammad Alsubaie
Author:
Zhonglun Cai
Author:
Paul Lewin
Author:
Eric Rogers
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