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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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control tools (TEXTURISE project). The TEXTURISE main objectives are: - To identify the key factors (such as raw materials characteristics and processing conditions) influencing the structure building
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actions. The focus is on creating an integrated quality control system that adapts to uncertainty and enables continuous process improvement. The research is part of the national Add-reAM project, which
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a control framework for a novel decentralized residential ventilation system. NudgeFlow introduces a smart residential ventilation concept using low pressure drop components that directly connect
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be undertaken at Imperial College London (Control and Power Research Group, Department of Electrical and Electronic Engineering) under the co-supervision of Professor Balarko Chaudhuri and Professor
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create ground-breaking mathematical tools for data-driven modelling and control of complex processes, which will be efficient in practice and have rigorous theoretical foundations. It is envisioned
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, and computer vision for high-tech greenhouses. The goal of the LEAP-AI project is to collaborate with this team to design the next generation of autonomous greenhouse control systems and will culminate
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4 Sep 2025 Job Information Organisation/Company KU LEUVEN Department ESAT - STADIUS Research Field Engineering » Control engineering Engineering » Electrical engineering Engineering » Systems
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the optimization-based methods (doi.org/10.1016/j.apenergy.2020.116152 ), 3- Weakness of the model-predictive-control (MPC) against HESS’s parameters uncertainties, noises, and disturbances (doi.org/10.2514/6.2022
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, and computer vision for high-tech greenhouses. The goal of the LEAP-AI project is to collaborate with this team to design the next generation of autonomous greenhouse control systems and will culminate