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-based control of multilayer electrospinning. The task of the PhD student is constructing a scalable, multiparameter model, which maps online observable process parameters (e.g. spinneret voltage, flow
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focus on developing new power electronics and control architectures to enable the operation of residential HVAC systems (heat pumps and heat recovery ventilation units) in droop-controlled DC microgrids
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quality models for multilayer membranes, and 2) no robust and scalable methods for model-based control of multilayer electrospinning. The task of the PhD student is constructing a scalable, multiparameter
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new paradigm in the design, testing, and validation of Electronic Control Units (ECUs) for Connected and Autonomous Vehicles. By developing high-fidelity Digital Twins (DTs) that combine functional
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controls) impose the greatest material and energy demands. The project will apply a consistent LCA framework following the ISO 14040 and ISO 14044 standards, employing a state-of-the-art impact assessment