Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Stefan Ecklebe"'
Publikováno v:
Machines, Vol 12, Iss 3, p 181 (2024)
In this paper, we introduce a novel method to formally represent elements of control engineering knowledge in a suitable data structure. To this end, we first briefly review existing representation methods (RDF, OWL, Wikidata, ORKG). Based on this, w
Externí odkaz:
https://doaj.org/article/0159ab7b90e449f0acd665eb64d979d8
Publikováno v:
Crystals, Vol 11, Iss 2, p 138 (2021)
The aim of this study was to assess the aptitude of the recurrent Long Short-Term Memory (LSTM) neural networks for fast and accurate predictions of process dynamics in vertical-gradient-freeze growth of gallium arsenide crystals (VGF-GaAs) using dat
Externí odkaz:
https://doaj.org/article/000bf34d29da4bdf9fe9da1b8eb643d6
Publikováno v:
at - Automatisierungstechnik. 71:232-243
Zusammenfassung Das VGF-Verfahren ist ein moderner Prozess zur Züchtung von Einkristallen, der Grundlage für nahezu alle elektronischen Anwendungen. Die sukzessive Erstarrung der Schmelze zum Einkristall wird dabei durch geeignete Ansteuerung der a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df428544db427d7b6e58260ac7f77ac6
https://doi.org/10.1515/auto-2023-0005
https://doi.org/10.1515/auto-2023-0005
Publikováno v:
at - Automatisierungstechnik. 70:705-718
Zusammenfassung Die Stabilität eines elektrischen Energieübertragungssystems ist eine der wichtigsten Eigenschaften, die dessen Betreiber garantieren muss, insbesondere angesichts des wachsenden Anteils von dezentral eingespeisten, volatilen Energi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5246a6167cd4ee43f78d41dfa24c6b07
https://doi.org/10.1515/auto-2022-0016
https://doi.org/10.1515/auto-2022-0016
Publikováno v:
IEEE Transactions on Control Systems Technology. 30:384-391
In this contribution, tracking control designs using output feedback are presented for a two-phase Stefan problem (SP) arising in the modeling of the vertical gradient freeze process. The two-phase SP, consisting of two coupled free boundary problems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b585bf11ed18f06cd0576e5e58c7e77
https://doi.org/10.1109/tcst.2021.3058006
https://doi.org/10.1109/tcst.2021.3058006
Publikováno v:
2022 International Conference on Smart Energy Systems and Technologies (SEST).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd94b8d043961dda0eb664b72de4fba9
https://doi.org/10.1109/sest53650.2022.9898506
https://doi.org/10.1109/sest53650.2022.9898506
Publikováno v:
IFAC-PapersOnLine. 54:218-225
This contribution presents the application of nonlinear model predictive control to the Vertical Gradient Freeze crystal growth process. Due to the time-varying spatial extent of the crystal and melt during growth, this process is characterised by tw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97782a2d269354e015be7714cc6ee666
https://doi.org/10.1016/j.ifacol.2021.08.548
https://doi.org/10.1016/j.ifacol.2021.08.548
Publikováno v:
IFAC-PapersOnLine. 53:7758-7764
This contribution presents a backstepping-based state feedback design for the tracking control of a two-phase Stefan problem which is encountered in the Vertical Gradient Freeze crystal growth process. A two-phase Stefan problem consists of two coupl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc9f87efe4f315f0b69b8d2c2353255d
https://doi.org/10.1016/j.ifacol.2020.12.1537
https://doi.org/10.1016/j.ifacol.2020.12.1537
Publikováno v:
ICSTCC
As the amount of volatile, renewable energy sources in power distribution grids is increasing, the stability of the latter is a vital aspect for grid operators. Within the STABEEL project, the authors seek to develop better rules on how to parametris
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61c4fe0e4ac21a3240e4c0c05f545ba2
https://doi.org/10.1109/icstcc52150.2021.9607222
https://doi.org/10.1109/icstcc52150.2021.9607222
Publikováno v:
Journal of Crystal Growth. 521:9-14
Fast forecasting of process variables during the crystal growth is a critical step in a process development, optimization and control. The common approach based on computational fluid dynamics modeling is accurate, but too slow to deliver results in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea1f73a6ec1244580b7b000cc83c4c80
https://doi.org/10.1016/j.jcrysgro.2019.05.022
https://doi.org/10.1016/j.jcrysgro.2019.05.022