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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 | ||||||||
| 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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