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: 2019
Number of items: 2.

2019

Alotaibi, S. and Grimble, M.; (2019) Nonlinear Optimal Generalized Predictive Functional Control applied to quasi-LPV model of automotive electronic throttle. In: 15th International Conference on Control and Automation (ICCA). IEEE, GBR, pp. 1277-1282. ISBN 9781728111643

Alotaibi, Sultan and Grimble, Michael; (2019) Optimal generalized predictive functional control with applications to extended PID control for quadruple tank. In: 25th International Conference on Automation and Computing (ICAC). IEEE, GBR. ISBN 9781728125183

This list was generated on Tue Jul 7 21:00:45 2020 BST.