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: 2016 | 2010 | 2008 | 2005 | 2004 | 2003 | 2002 | 2001
Number of items: 10.

2016

Burn, D. T. and Harper, L. T. and Johnson, M. and Warrior, N. A. and Nagel, U. and Yang, L. and Thomason, J. (2016) The usability of recycled carbon fibres in short fibre thermoplastics : interfacial properties. Journal of Materials Science, 51 (16). pp. 7699-7715. ISSN 1573-4803

2010

Dixon, Diane and Pollard, Beth and Rowley, David and Johnson, Marie (2010) Application of the ICF to referral delay in total joint arthroplasty. Quality and Safety in Health Care, 19 (6). e23. ISSN 1475-3898

2008

Grimble, M.J. and Johnson, M.A. (2008) Essentials of industrial control design: benefits, performance and methods. Springer.

2005

Johnson, M.A. and Moradi, M. and Katebi, M.R.; Johnson, Michael A. and Moradi, Mohammad H., eds. (2005) Predictive PID control. In: PID Control. Springer, pp. 473-529. ISBN 1852337028

2004

Sanchez, A. and Katebi, M.R. and Johnson, M.A. (2004) A tuning algorithm for multivariable restricted structure control systems using subspace identification. International Journal of Adaptive Control and Signal Processing, 18 (9). pp. 745-770. ISSN 0890-6327

2003

Sanchez, A. and Katebi, M.R. and Johnson, M.A. (2003) Design and implementation of a real-time control platform for the testing of advanced control systems and data quality management in the wastewater industry. In: 4th International Conference on Control and Automation 2003 (ICCA’03), 2003-06-12 - 2003-06-12.

Greenwood, D. and Johnson, M.A. and Grimble, M.J. (2003) Benchmarking for process control with applications in the hot strip finishing steel mill. In: UNSPECIFIED.

Greenwood, D. and Johnson, M.A. and Grimble, M.J. (2003) Multi-variable LQG optimal control - restricted structure control for benchmarking and tuning. In: UNSPECIFIED.

2002

Moradi, M. and Katebi, M.R. and Johnson, M.A. (2002) The Mimo predictive PID controller design. Asian Journal of Control, 4 (4). pp. 452-463. ISSN 1561-8625

2001

Moradi, M. and Katebi, M.R. and Johnson, M.A. (2001) Predictive PID control : a new algorithm. In: 27th Annual Conference of the IEEE Industrial-Electronics-Society, 2001-11-29 - 2001-12-02.

This list was generated on Thu Jul 9 01:00:18 2020 BST.