Project description
No more "hindsight is 20/20" thanks to novel optimisation of decision-making
Decision-making in engineering as in real life must deal with inherent uncertainty arising from several sources, including access to limited observable data, measurement noise and so-called operator error. Numerous optimisation techniques exist to account for uncertainty with varying starting assumptions but, as the data sets become larger and more complex, so does the uncertainty. The EU-funded TRUST project is developing a novel control paradigm based on the emerging field of distributionally robust optimisation. It takes into account all probability distributions consistent with information previously provided to address the new challenges. The outcomes will include a new modelling language available as open-source software.
Fields of science
- natural sciencescomputer and information sciencessoftware
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systems
- natural sciencesmathematicsapplied mathematicsdynamical systems
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Programme(s)
Topic(s)
Funding Scheme
ERC-STG - Starting Grant
Host institution
2628 CN Delft
Netherlands
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Beneficiaries (1)
2628 CN Delft
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