Optimization of batch trajectories under scarcity of measured information by dynamic data-driven surrogate models

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Alternative title: Optimierung von Batchtrajektorien unter mangeldem Informationsgehalt in Messdaten durch dynamische datengetriebene Surrogatmodelle

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: Berlin, Technische Universität Berlin, Dissertation, 2024

Keyword: Prozessoptimierung
Prozessmodell
Prozessregelung
Chargenbetrieb
Chemische Verfahrenstechnik
Verfahrenstechnik

Event: Veröffentlichung

(where): Berlin

(who): Technische Universität Berlin

(when): 2024

Creator: Brand Rihm, Gerardo

Contributor: Repke, Jens-Uwe
Bortz, Michael

DOI: 10.14279/depositonce-21003

Handle: 11303/22202

URN: urn:nbn:de:101:1-2409180159241.423603785078

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:24 AM CEST

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Associated

Brand Rihm, Gerardo
Repke, Jens-Uwe
Bortz, Michael
Technische Universität Berlin

Time of origin

2024

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Optimization of batch trajectories under scarcity of measured information by dynamic data-driven surrogate models

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