Picture of fish in sea

Open Access research that uses mathematical models to solve ecological problems...

Solving a variety of ecological and biological problems is the focus of marine population modelling research conducted within the Department of Mathematics & Statistics. Here research deploys mathematical models to better understanding issues relating to fish stock management, ecosystem dynamics, ocean currents, and the effects of multispecies interactions within diverse marine ecosystems.

Research work in marine population modelling interfaces with a number of other key research specialisms, including mathematical biology, epidemiology and statistical informatics, where investigations are improving human understanding of the behaviour of infectious diseases, particularly in relation to animal infections; but also the modelling of complex biological processes such as antibiotic prodcution in actinobacteria.

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Jump to: 2018 | 2016 | 2015
Number of items: 4.

2018

Bao, Jie and Yue, Hong and Leithead, William E. and Wang, Jiqiang (2018) Feedforward control for wind turbine load reduction with pseudo-LIDAR measurement. International Journal of Automation and Computing, 15 (2). pp. 142-155. ISSN 1476-8186

2016

Bao, Jie and Yue, Hong and Leithead, William E. and Wang, Jiqiang; (2016) LIDAR-assisted wind turbine gain scheduling control for load reduction. In: 2016 22nd International Conference on Automation and Computing (ICAC). IEEE, GBR, pp. 1-6. ISBN 978-1-86218-132-8

2015

Wang, Mengling and Yue, Hong and Bao, Jie and Leithead, William E. (2015) LIDAR-based wind speed modelling and control system design. In: 21st International Conference on Automation and Computing, ICAC 2015, 2015-09-11 - 2015-09-12, University of Strathclyde.

Bao, Jie and Wang, Mengling and Yue, Hong and Leithead, William (2015) Pseudo-LIDAR data analysis and feed-forward wind turbine control design. In: 9th IFAC Symposium on Advanced Control of Chemical Processes - ADCHEM 2015, 2015-06-07 - 2015-06-10.

This list was generated on Wed Jul 15 20:25:43 2020 BST.