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Thesis in High Performance Model Predictive Control Using Machine Learning
Renningen
Aktualität: 26.10.2024
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26.10.2024, Bosch-Gruppe
Renningen
Thesis in High Performance Model Predictive Control Using Machine Learning
Aufgaben:
Model predictive control is a promising advanced control method with the potential to improve the efficiency of electric drives. However, due to the huge online computational burden, its application is often limited to the use of simplified models and short horizons which sacrifices performance.
Qualifikationen:
Education: studies in the field of Cybernetics, Engineering, Mathematics, Computer Science or comparable
Experience and Knowledge: in Python DL frameworks like Pytorch, Tensorflow, or Jax; profound knowledge of machine learning and control theory
Personality and Working Practice: autonomous, systematic and analytical
Languages: good in English
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Thesis in High Performance Model Predictive Control Using Machine Learning
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