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& robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees
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catalytic (homogenously and heterogeneously catalyzed) hydrogenation technologies targeting valorization of carbon oxides for green oxygenates production. In this project, we particularly aim green methanol
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stability theory, modeling & identification, optimal control, certifiably safe & robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven
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oxygenates production. In this project, we particularly aim green methanol production in the context of circular economy. The research activities in this doctoral thesis are planned with the view of developing
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& robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees