Andrew Wynn
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Reader in Control and Optimization
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About
Dr. Andrew Wynn is a Reader in Control and Optimization at Imperial College London. His research areas include convection, heat transport, turbulent flows, nonlinear control systems, and wind turbine rotor load prediction. Recent publications include studies on internally heated convection, data-driven feature identification, and the development of modal-based nonlinear model predictive control techniques. He is based in the United Kingdom, where he contributes significantly to the field of control and optimization.
Recent Grants
Grant: Close
[EnAble]: Developing and Exploiting Intelligent Approaches for Turbulent Drag Reduction
Open Date: 2021-03-01
Close Date: 2024-02-29
Grant: Close
Data-driven fluid dynamics
Open Date: 2017-11-01
Close Date: 2021-07-30
Grant: Close
Extracting coherent structures and low-order modelling using Optimal Mode Decomposition
Open Date: 2016-04-29
Close Date: 2017-04-28
Articles (7)
Year:
2022
Year:
2021
Year:
2021
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2021
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2021
Year:
2021
Year:
2020
Collaborators (3)
Rafael Palacios
Prof
Imperial College London
Giovanni Fantuzzi
W1 Professor
Friedrich-Alexander Universität Erlangen-Nürnberg
Paul Goulart
Professor at University of Oxford
University of Oxford
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