Uncertainty in the context of this work is deliberately very broad and refers to a situation or system about which there is a lack of precise information or knowledge about the exact nature of the past, current, or future state of a system.
Research in uncertain systems in the department ranges from the examination of errors in microstructural modelling to the impact of neglected vehicle dynamics in automotive modelling to quantifying likely future unknown variabilities in entire industrial sectors.
From an industrial perspective, some key questions that our research attempts to address are:
- What are the likely design variabilities in product design?
- To what extent does the model reflect real operational behaviour?
- How can noise be separated from real variations in data?
- How can unknown factors that might affect production be qualified?
- To what extent will demand variability and supply uncertainty affect the business?