Dynamic Output-Only Iterative Learning Control Design
Iterative learning control applies to systems that repeatedly execute the same finite duration task. The distinguishing feature of this form of control action is that all data generated on a previous execution of the task is available to compute the control action for the subsequent execution. This...
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2021
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oai:doaj.org-article:bb997afb39334b09843eff427dbbb04b2021-11-18T00:05:00ZDynamic Output-Only Iterative Learning Control Design2169-353610.1109/ACCESS.2021.3123868https://doaj.org/article/bb997afb39334b09843eff427dbbb04b2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9591589/https://doaj.org/toc/2169-3536Iterative learning control applies to systems that repeatedly execute the same finite duration task. The distinguishing feature of this form of control action is that all data generated on a previous execution of the task is available to compute the control action for the subsequent execution. This paper uses the repetitive process stability analysis and optimization techniques to design a dynamic controller that, in contrast to previous designs in the repetitive process/2D systems setting, does not require measurement of the state dynamics or observer-based estimation. Examples to demonstrate the application of the new design are given.Lukasz HladowskiKrzysztof GalkowskiEric RogersIEEEarticleIterative learning controlrepetitive processesoutput controlElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 147072-147081 (2021) |
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DOAJ |
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Iterative learning control repetitive processes output control Electrical engineering. Electronics. Nuclear engineering TK1-9971 |
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Iterative learning control repetitive processes output control Electrical engineering. Electronics. Nuclear engineering TK1-9971 Lukasz Hladowski Krzysztof Galkowski Eric Rogers Dynamic Output-Only Iterative Learning Control Design |
description |
Iterative learning control applies to systems that repeatedly execute the same finite duration task. The distinguishing feature of this form of control action is that all data generated on a previous execution of the task is available to compute the control action for the subsequent execution. This paper uses the repetitive process stability analysis and optimization techniques to design a dynamic controller that, in contrast to previous designs in the repetitive process/2D systems setting, does not require measurement of the state dynamics or observer-based estimation. Examples to demonstrate the application of the new design are given. |
format |
article |
author |
Lukasz Hladowski Krzysztof Galkowski Eric Rogers |
author_facet |
Lukasz Hladowski Krzysztof Galkowski Eric Rogers |
author_sort |
Lukasz Hladowski |
title |
Dynamic Output-Only Iterative Learning Control Design |
title_short |
Dynamic Output-Only Iterative Learning Control Design |
title_full |
Dynamic Output-Only Iterative Learning Control Design |
title_fullStr |
Dynamic Output-Only Iterative Learning Control Design |
title_full_unstemmed |
Dynamic Output-Only Iterative Learning Control Design |
title_sort |
dynamic output-only iterative learning control design |
publisher |
IEEE |
publishDate |
2021 |
url |
https://doaj.org/article/bb997afb39334b09843eff427dbbb04b |
work_keys_str_mv |
AT lukaszhladowski dynamicoutputonlyiterativelearningcontroldesign AT krzysztofgalkowski dynamicoutputonlyiterativelearningcontroldesign AT ericrogers dynamicoutputonlyiterativelearningcontroldesign |
_version_ |
1718425248586530816 |