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. Specifically, you will Develop theory and practical algorithms for delay-adaptive model predictive control (MPC) Design delay-adaptive MPC algorithms for safe operation of molten-salt nuclear reactors Co
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to develop learning-based model predictive control (MPC) algorithms for multi-agent multirotor drone navigation around vessels in maritime environments. The role will focus on integrating multirotor
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and applying optimisation methods, such as model predictive control, multi-objective optimisation and, where appropriate, reinforcement learning Investigating suitable model-reduction and approximation
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as AWS SageMaker Small or large language model development with retrieval-augmented generation Desirable : Industrial analytics or predictive maintenance Knowledge of construction-related industries
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accepted all year round Details Dynamic optimization is integral to many aspects of science and engineering, commonly found in trajectory optimization, optimal control (e.g. model predictive control
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intersection of model predictive control and adaptive modelling and contribute to facilitating the increased penetration of renewable energy through the orchestration of flexible energy consumption. You will
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predictions. • Designing and conducting instrumented WA-DED experiments to validate the developed models. • Applying the CFD-informed FEA model to predict and control temperature fields for building parts with
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden-Württemberg | Germany | 2 months ago
) specialised in AI & Machine Learning, Ref. 421 to support the further development and commissioning of the Real-Time Control (RTC) system for the METIS Adaptive Optics (AO) system on ESO’s
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society. The Center for Vision, Automation & Control located in Vienna (Giefinggasse, 1210) invites applications for a master thesis. Within the Center for Vision, Automation & Control , the Competence
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. This limits our ability to predictably control and exploit the drop for useful tasks. Aims: 1. Develop computational models to quantitatively predict the response of chemically active drops to the