Tim started his academic career in the UK as a Lecturer at the University of Manchester, in February 2004. Prior to that appointment he had nine years of research experience on the modelling, control, performance monitoring and optimisation of industrial systems.
Business, Technology and Enterprise
Tim's main area of research is application of advanced control techniques for industrial systems with particular emphasis on aerospace and energy generation. Tim has research experience in modelling, control, performance monitoring and optimisation of industrial systems.
He has experience in collaboration with industrial partners. In particular, he has participated in the development of a digital full authority control system for a new low fuel consumption aero engine and the design of control laws for a low emission staged combustion gas turbine engine.
Tim was also involved in a number of research projects supported by Industry, DTI, the EU INTAS programme, NATO and the Royal Society.
He has been the lead investigator on EP/C015185/1 EPSRC grant on the ‘real-time modelling for condition monitoring and performance optimisation of gas turbine engines’, and one of the leading authors of research proposal for EP/G059837/1 grant focused on energy demand reduction in paper making.
Xuewu, D., Zhiwei, G., Breikin, T., & Hong, W. (2012). High-gain observer-based estimation of parameter variations with delay alignment. IEEE Transactions on Automatic Control, 57 (3), 726-732. http://doi.org/10.1109/TAC.2011.2169635
Afshar, P., Brown, M., Austin, P., Wang, H., Breikin, T., & Maciejowski, J. (2012). Sequential modelling of thermal energy: New potential for energy optimisation in papermaking. Applied Energy, 89 (1), 97-105. http://doi.org/10.1016/j.apenergy.2011.01.022
Xuewu, D., Zhiwei, G., Breikin, T., & Hong, W. (2009). Zero assignment for robust H2/H[infinity] fault detection filter design. IEEE Transactions on Signal Processing, 57 (4), 1363-1372. http://doi.org/10.1109/TSP.2008.2010598
Xuewu, D., Zhiwei, G., Breikin, T., & Hong, W. (2009). Disturbance attenuation in fault detection of gas turbine engines: a discrete robust observer design. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 39 (2), 234-239. http://doi.org/10.1109/TSMCC.2008.2005845
Gao, Z., Dai, X., Breikin, T., & Wang, H. (2008). Novel Parameter Identification by Using a High-Gain Observer With Application to a Gas Turbine Engine. IEEE Transactions on Industrial Informatics, 4 (4), 271-279. http://doi.org/10.1109/TII.2008.2007802