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primary regenerative braking. EMBs are highly sensitive to EV harsh operating conditions. This project addresses this challenge by developing AI-based EMB clamping force estimators and robust control
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Modern autonomous ground vehicles (AGVs/UGVs) in defence operations require sophisticated AI/ML-based control systems for perception, decision-making, and adaptive responses in complex, unstructured
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in partnership with SMS Group, a world-leading supplier of metallurgical plant and rolling mill technology. Project: Closed-Loop Electromagnetic Microstructure Control During Hot Strip Mill Run-Out
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to control it, we could potentially reduce future biological N2O emissions, allowing recovery of the ozone layer and help reduce global climate change while continuing to feed expanding global populations
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. 4. Advanced Control and Modelling Multi-modular distributed motor-drive architectures and ultra-fast semiconductor devices present significant control challenges. Research may involve FPGA-based
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be carefully controlled and optimised to ensure good electrochemical performance, mechanical integrity, and impermeability. This challenge is compounded by the lack of rapid inspection methods capable
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Criteria Master’s degree (or equivalent) in Electrical Engineering, Control Engineering, Mechatronics, Robotics, or a related discipline with a strong focus on dynamic systems. Strong background in state
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molecules to cross. However, this method does not overcome the mucus barrier. This project will investigate which mechanical stimulus, delivered actively and under control, best moves a drug across the
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construction that enables efficient and low-carbon fabrication under factory-controlled conditions that optimise material mix designs, energy use and curing conditions. Tunnels and shafts, typically 5-25m in
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, control and predict learning in real time. This project addresses a fundamental question in neuroscience and provides advanced training in technologies relevant to Parkinson’s disease and psychiatric