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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Number of items: 7.

2019

Gao, Ke and Song, Jia and Yang, Erfu (2019) Stability analysis of the high-order extended state observers for a class of nonlinear control systems. Transactions of the Institute of Measurement and Control, 41 (15). pp. 4370-4379. ISSN 0142-3312

2015

Alkaya, Alkan and Grimble, Michael John (2015) Non-linear minimum variance estimation for fault detection systems. Transactions of the Institute of Measurement and Control, 37 (6). pp. 805-812. ISSN 0142-3312

2006

Sun, Xubin and Yue, Hong and Wang, Hong (2006) Modelling and control of the flame temperature distribution using probability density function shaping. Transactions of the Institute of Measurement and Control, 28 (5). pp. 401-428. ISSN 0142-3312

2005

Sanchez, A. and Wade, M.J. and Katebi, M.R. (2005) A software platform for real-time control and monitoring of a wastewater treatment plant. Transactions of the Institute of Measurement and Control, 27 (3). pp. 153-172. ISSN 0142-3312

Wade, M.J. and Sanchez, A. and Katebi, M.R. (2005) On realtime control and process monitoring of wastewater treatment plants: realtime process monitoring. Transactions of the Institute of Measurement and Control, 27 (3). pp. 173-193. ISSN 0142-3312

2003

Grimble, M.J. (2003) Performance assessment and benchmarking LQG predictive optimal controllers for discrete. Transactions of the Institute of Measurement and Control, 25 (3). pp. 239-264. ISSN 0142-3312

Wang, H. and Yue, H. (2003) A rational spline model approximation and control of output probability density functions for dynamic stochastic systems. Transactions of the Institute of Measurement and Control, 25 (2). pp. 93-105.

This list was generated on Thu Jul 9 00:34:00 2020 BST.