Loughborough University is a top-ten rated university in England for research intensity (REF2014) and an outstanding 66% of the work of Loughborough’s academic staff who were eligible to be submitted to the REF was judged as ‘world-leading’ or ‘internationally excellent’, compared to a national average figure of 43%. In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Doctoral College, including tailored careers advice, to help you succeed in your research and future career. Electric machines are increasingly being used to automate processes throughout manufacturing value chains. However due to mechanical tolerances, component wear and manufacturing variations, the way these machines react to actuation commands can be uncertain. The traditional way to approach these uncertainties is to measure the system response and use a control algorithm to correct the actuator accordingly. This project aims to construct a novel framework for understanding the uncertainty in electromechanical systems, and to use this framework to identify methods for controlling the system more effectively. This project will include a theoretical component focussed on the underlying theory of uncertainty and optimal control, and a practical component investigating the real-world behaviour of uncertain electromechanical actuators.