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Hörger, Till (2021) Reinforcement Learning Framework zur optimalen Regelung von Orbitalantrieben unter Berücksichtigung von Robustheit und Betriebsbereichseinschränkungen. Master's, Universität Stuttgart.
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| Item URL in elib: | https://elib.dlr.de/143369/ | ||||||
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| Document Type: | Thesis (Master's) | ||||||
| Title: | Reinforcement Learning Framework zur optimalen Regelung von Orbitalantrieben unter Berücksichtigung von Robustheit und Betriebsbereichseinschränkungen | ||||||
| Authors: |
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| Date: | 2021 | ||||||
| Refereed publication: | No | ||||||
| Open Access: | Yes | ||||||
| Gold Open Access: | No | ||||||
| In SCOPUS: | No | ||||||
| In ISI Web of Science: | No | ||||||
| Number of Pages: | 83 | ||||||
| Status: | Published | ||||||
| Keywords: | Orbitalantriebe, reinforcement learning | ||||||
| Institution: | Universität Stuttgart | ||||||
| Department: | Institut für Raumfahrtsysteme | ||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||
| HGF - Program: | Space | ||||||
| HGF - Program Themes: | Space Transportation | ||||||
| DLR - Research area: | Raumfahrt | ||||||
| DLR - Program: | R RP - Space Transportation | ||||||
| DLR - Research theme (Project): | R - Project Future Fuels - Advanced Rocket Propellants | ||||||
| Location: | Lampoldshausen | ||||||
| Institutes and Institutions: | Institute of Space Propulsion > Spacecraft and Orbital Propulsion | ||||||
| Deposited By: | Hanke, Michaela | ||||||
| Deposited On: | 15 Nov 2021 08:39 | ||||||
| Last Modified: | 15 Nov 2021 08:39 |
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