Modellfreies Lernen optimaler zeitdiskreter Regelungsstrategien für Fertigungsprozesse mit endlichem Zeithorizont / / Johannes Dornheim.

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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Place / Publishing House:Karlsruhe : : KIT Scientific Publishing,, 2022.
Year of Publication:2022
Language:German
Physical Description:1 online resource (226 pages)
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100 1 |a Dornheim, Johannes,  |e author. 
245 1 0 |a Modellfreies Lernen optimaler zeitdiskreter Regelungsstrategien für Fertigungsprozesse mit endlichem Zeithorizont /  |c Johannes Dornheim. 
264 1 |a Karlsruhe :  |b KIT Scientific Publishing,  |c 2022. 
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588 |a Description based on publisher supplied metadata and other sources. 
520 |a 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. 
546 |a In German. 
505 0 |a Kurzfassung i -- Abstract iii -- Danksagung v -- 1 Einleitung 1 -- 2 Stand der Wissenschaft . 5 -- 3 Forschungsaufgabe 49 -- 4 Optimierung partiell beobachtbarer Fertigungsprozesse unter variierenden Einflüssen 55 -- 5 Struktur-geleitete Optimierung von Fertigungsprozessen . 97 -- 6 Übergreifende Diskussion und Ausblick . 145 -- Literaturverzeichnis 155 -- Tabellenverzeichnis 171 -- Abkürzungs- und Symbolverzeichnis . 172 -- A Weitere Grundlagen 181 -- B Weitere Abbildungen . 187. 
650 0 |a Reinforcement learning. 
650 0 |a Reinforcement learning  |v Congresses. 
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