Repetitive process based higher-order iterative learning control law design
Repetitive process based higher-order iterative learning control law design
Iterative learning control(ILC) has been developed for processes or systems that complete the same finite duration task over and over again. The exact mode of operation is that after each execution is complete the system resets to the starting location ready for the start of the next one. Each execution is known as a trial and the duration the trial length. Once each trial is complete the information generated is available for use in computing the control input for the next trial. This paper uses the repetitive process setting to develop new results on the design of higher-order ILC control laws for discrete dynamics. The results include the relation between the speed of error convergence and the number of previous trials included in the control law.
378-383
Wang, X
976221d1-3004-409c-8640-715bedfc5d15
Chu, B
555a86a5-0198-4242-8525-3492349d4f0f
Rogers, E
611b1de0-c505-472e-a03f-c5294c63bb72
8 July 2016
Wang, X
976221d1-3004-409c-8640-715bedfc5d15
Chu, B
555a86a5-0198-4242-8525-3492349d4f0f
Rogers, E
611b1de0-c505-472e-a03f-c5294c63bb72
Wang, X, Chu, B and Rogers, E
(2016)
Repetitive process based higher-order iterative learning control law design.
In Proceedings of the 2016 American Control Conference (ACC).
IEEE.
.
(doi:10.1109/ACC.2016.7524944).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Iterative learning control(ILC) has been developed for processes or systems that complete the same finite duration task over and over again. The exact mode of operation is that after each execution is complete the system resets to the starting location ready for the start of the next one. Each execution is known as a trial and the duration the trial length. Once each trial is complete the information generated is available for use in computing the control input for the next trial. This paper uses the repetitive process setting to develop new results on the design of higher-order ILC control laws for discrete dynamics. The results include the relation between the speed of error convergence and the number of previous trials included in the control law.
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More information
Published date: 8 July 2016
Additional Information:
American Control Conference (ACC '16) Boston
Venue - Dates:
2016 American Control Conference, ACC 2016, , Boston, United States, 2016-07-06 - 2016-07-08
Organisations:
Vision, Learning and Control
Identifiers
Local EPrints ID: 386884
URI: http://eprints.soton.ac.uk/id/eprint/386884
PURE UUID: f1126849-5d61-407d-a524-e51acec3fc70
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Date deposited: 03 Feb 2016 19:26
Last modified: 18 Mar 2024 03:21
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Contributors
Author:
X Wang
Author:
B Chu
Author:
E Rogers
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