Experimental implementation of an iteration-varying optimal stochastic iterative learning control algorithm
Experimental implementation of an iteration-varying optimal stochastic iterative learning control algorithm
A number of iterative learning control algorithms have been developed in a stochastic setting in recent years. The results currently available are in the form of fundamental systems theoretical properties and associated algorithm development. This paper reports results from the application of a stochastic algorithm on a gantry robot system that has been used in the benchmarking a range of deterministic algorithms. These results confirm that this algorithm is capable of delivering good performance in the experimental domain, including comparison against an alternative.
978-1-4577-1104-6
406-411
Cai, Zhonglun
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Bristow, D.A.
1c924967-719f-471b-a200-4b73c8c8601e
Rogers, E.
611b1de0-c505-472e-a03f-c5294c63bb72
Freeman, C.T.
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September 2011
Cai, Zhonglun
dd8dd525-19a5-4792-a048-617340996afe
Bristow, D.A.
1c924967-719f-471b-a200-4b73c8c8601e
Rogers, E.
611b1de0-c505-472e-a03f-c5294c63bb72
Freeman, C.T.
ccdd1272-cdc7-43fb-a1bb-b1ef0bdf5815
Cai, Zhonglun, Bristow, D.A., Rogers, E. and Freeman, C.T.
(2011)
Experimental implementation of an iteration-varying optimal stochastic iterative learning control algorithm.
2011 IEEE International Symposium on Intelligent Control, Denver, United States.
28 - 30 Sep 2011.
.
(doi:10.1109/ISIC.2011.6045408).
Record type:
Conference or Workshop Item
(Other)
Abstract
A number of iterative learning control algorithms have been developed in a stochastic setting in recent years. The results currently available are in the form of fundamental systems theoretical properties and associated algorithm development. This paper reports results from the application of a stochastic algorithm on a gantry robot system that has been used in the benchmarking a range of deterministic algorithms. These results confirm that this algorithm is capable of delivering good performance in the experimental domain, including comparison against an alternative.
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Published date: September 2011
Venue - Dates:
2011 IEEE International Symposium on Intelligent Control, Denver, United States, 2011-09-28 - 2011-09-30
Organisations:
Southampton Wireless Group, Aerodynamics & Flight Mechanics Group
Identifiers
Local EPrints ID: 348077
URI: http://eprints.soton.ac.uk/id/eprint/348077
ISBN: 978-1-4577-1104-6
PURE UUID: 41236501-d40c-43e6-95d7-e03bc177e9cb
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Date deposited: 14 Feb 2013 14:27
Last modified: 11 Dec 2024 02:39
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Contributors
Author:
Zhonglun Cai
Author:
D.A. Bristow
Author:
E. Rogers
Author:
C.T. Freeman
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