Modellfreies Lernen optimaler zeitdiskreter Regelungsstrategien für Fertigungsprozesse mit endlichem Zeithorizont

The quality and performance of components is largely determined by the execution of the manufacturing processes involved. The process result depends -- in addition to the initial state of the component and the process -- on the course of the process. In many manufacturing processes, the course of th...

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Автор: Dornheim, Johannes
Формат: Online
Мова:Німецька
Опубліковано: KIT Scientific Publishing 2022
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Онлайн доступ:OCN: 1348378503
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author Dornheim, Johannes
author_browse Dornheim, Johannes
author_facet Dornheim, Johannes
author_sort Dornheim, Johannes
collection Directory of Open Access Books
description The quality and performance of components is largely determined by the execution of the manufacturing processes involved. The process result depends -- in addition to the initial state of the component and the process -- on the course of the process. In many manufacturing processes, the course of the process can be decisively determined by manipulated variables that change over time. This work deals with methods to optimize these time-varying quantities under fluctuating process conditions. The quality of components depend to a large extent on the execution of the industrial processes involved in manufacturing. In addition to the initial conditions of the component and the process, the process result depends on the course of the process, which often can be significantly determined by time-varying manipulated variables. Methods for the optimization of these time-dependent quantities with regard to the component quality and depending on process conditions is the subject of this work.
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spelling doab-20.500.12854ir-825832025-05-27T06:03:31Z Modellfreies Lernen optimaler zeitdiskreter Regelungsstrategien für Fertigungsprozesse mit endlichem Zeithorizont Dornheim, Johannes Maschinelles Lernen; Entscheidungsoptimierung; Bestärkendes Lernen; Prozesspfadoptimierung; Optimale Regelung; machine learning; reinforcement learning; decision optimization; process optimization; optimal control The quality and performance of components is largely determined by the execution of the manufacturing processes involved. The process result depends -- in addition to the initial state of the component and the process -- on the course of the process. In many manufacturing processes, the course of the process can be decisively determined by manipulated variables that change over time. This work deals with methods to optimize these time-varying quantities under fluctuating process conditions. The quality of components depend to a large extent on the execution of the industrial processes involved in manufacturing. In addition to the initial conditions of the component and the process, the process result depends on the course of the process, which often can be significantly determined by time-varying manipulated variables. Methods for the optimization of these time-dependent quantities with regard to the component quality and depending on process conditions is the subject of this work. 2022-06-02T04:13:31Z 2022-06-02T04:13:31Z 2022-06-01T09:38:14Z 2022 book OCN: 1348378503 https://library.oapen.org/handle/20.500.12657/55801 9783731511588 https://directory.doabooks.org/handle/20.500.12854/82583 ger Schriftenreihe des Instituts für Angewandte Materialien, Karlsruher Institut für Technologie open access image/jpeg image/jpeg image/jpeg image/jpeg image/jpeg Attribution 4.0 International Attribution 4.0 International Attribution 4.0 International Attribution 4.0 International Attribution 4.0 International https://library.oapen.org/bitstream/20.500.12657/55801/1/modellfreies-lernen-optimaler-zeitdiskreter-regelungsstrategien-fur-fertigungsprozesse-mit-endlichem-zeithorizont.pdf https://library.oapen.org/bitstream/20.500.12657/55801/1/modellfreies-lernen-optimaler-zeitdiskreter-regelungsstrategien-fur-fertigungsprozesse-mit-endlichem-zeithorizont.pdf https://library.oapen.org/bitstream/20.500.12657/55801/1/modellfreies-lernen-optimaler-zeitdiskreter-regelungsstrategien-fur-fertigungsprozesse-mit-endlichem-zeithorizont.pdf https://library.oapen.org/bitstream/20.500.12657/55801/1/modellfreies-lernen-optimaler-zeitdiskreter-regelungsstrategien-fur-fertigungsprozesse-mit-endlichem-zeithorizont.pdf https://library.oapen.org/bitstream/20.500.12657/55801/1/modellfreies-lernen-optimaler-zeitdiskreter-regelungsstrategien-fur-fertigungsprozesse-mit-endlichem-zeithorizont.pdf KIT Scientific Publishing 10.5445/KSP/1000141283 10.5445/KSP/1000141283 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731511588 AG Universitätsverlage 226 open access
spellingShingle Maschinelles Lernen; Entscheidungsoptimierung; Bestärkendes Lernen; Prozesspfadoptimierung; Optimale Regelung; machine learning; reinforcement learning; decision optimization; process optimization; optimal control
Dornheim, Johannes
Modellfreies Lernen optimaler zeitdiskreter Regelungsstrategien für Fertigungsprozesse mit endlichem Zeithorizont
title Modellfreies Lernen optimaler zeitdiskreter Regelungsstrategien für Fertigungsprozesse mit endlichem Zeithorizont
title_full Modellfreies Lernen optimaler zeitdiskreter Regelungsstrategien für Fertigungsprozesse mit endlichem Zeithorizont
title_fullStr Modellfreies Lernen optimaler zeitdiskreter Regelungsstrategien für Fertigungsprozesse mit endlichem Zeithorizont
title_full_unstemmed Modellfreies Lernen optimaler zeitdiskreter Regelungsstrategien für Fertigungsprozesse mit endlichem Zeithorizont
title_short Modellfreies Lernen optimaler zeitdiskreter Regelungsstrategien für Fertigungsprozesse mit endlichem Zeithorizont
title_sort modellfreies lernen optimaler zeitdiskreter regelungsstrategien fur fertigungsprozesse mit endlichem zeithorizont
topic Maschinelles Lernen; Entscheidungsoptimierung; Bestärkendes Lernen; Prozesspfadoptimierung; Optimale Regelung; machine learning; reinforcement learning; decision optimization; process optimization; optimal control
topic_facet Maschinelles Lernen; Entscheidungsoptimierung; Bestärkendes Lernen; Prozesspfadoptimierung; Optimale Regelung; machine learning; reinforcement learning; decision optimization; process optimization; optimal control
url OCN: 1348378503
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