Constrained Point-to-Point Iterative Learning Control
Constrained Point-to-Point Iterative Learning Control
Iterative learning control is a methodology applicable to systems which repeatedly track the same reference trajectory defined over a finite time duration. Here the approach is instead applied to the point-to-point motion control problem in which the output is only specified at a subset of time instants. Iterative learning algorithms are developed to address this case, and it is shown how the extra design freedom allows input, output and state constraints to be addressed. Experimental results confirm the practicality and performance that can be achieved.
3611-3616
Freeman, Christopher
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
28 August 2011
Freeman, Christopher
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Freeman, Christopher
(2011)
Constrained Point-to-Point Iterative Learning Control.
18th IFAC World Congress, Milan, Italy.
28 Aug - 02 Sep 2011.
.
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Conference or Workshop Item
(Paper)
Abstract
Iterative learning control is a methodology applicable to systems which repeatedly track the same reference trajectory defined over a finite time duration. Here the approach is instead applied to the point-to-point motion control problem in which the output is only specified at a subset of time instants. Iterative learning algorithms are developed to address this case, and it is shown how the extra design freedom allows input, output and state constraints to be addressed. Experimental results confirm the practicality and performance that can be achieved.
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Published date: 28 August 2011
Additional Information:
Event Dates: August 28 - September 2
Venue - Dates:
18th IFAC World Congress, Milan, Italy, 2011-08-28 - 2011-09-02
Organisations:
EEE
Identifiers
Local EPrints ID: 271609
URI: http://eprints.soton.ac.uk/id/eprint/271609
PURE UUID: ee26d823-91d3-4f8b-aaf1-32295ffdfb7b
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Date deposited: 02 Oct 2010 12:41
Last modified: 11 Dec 2024 02:39
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Author:
Christopher Freeman
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