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Developing mathematical theories of the physical world: Open Access research on fluid dynamics from Strathclyde

Strathprints makes available Open Access scholarly outputs by Strathclyde's Department of Mathematics & Statistics, where continuum mechanics and industrial mathematics is a specialism. Such research seeks to understand fluid dynamics, among many other related areas such as liquid crystals and droplet evaporation.

The Department of Mathematics & Statistics also demonstrates expertise in population modelling & epidemiology, stochastic analysis, applied analysis and scientific computing. Access world leading mathematical and statistical Open Access research!

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Number of items: 8.

Zhang, Jianhua and Zhou, Shuqing and Ren, Mifeng and Yue, Hong (2016) Adaptive neural network cascade control system with entropy-based design. IET Control Theory and Applications, 10 (10). pp. 1151-1160. ISSN 1751-8644

Grimble, Michael and Majecki, Pawel (2015) Non-linear predictive generalised minimum variance state-dependent control. IET Control Theory and Applications. pp. 2438-2450. ISSN 1751-8644

Zhang, Liguo and Mao, Xuerong (2015) Vehicle density estimation of freeway traffic with unknown boundary demand-supply : an IMM approach. IET Control Theory and Applications, 9 (13). pp. 1989-1995. ISSN 1751-8644

Grimble, Michael and Majeckie, Pawel (2013) Non-linear generalised minimum variance control using unstable state-dependent multivariable models. IET Control Theory and Applications. ISSN 1751-8644 (In Press)

Hur, S.-H and Katebi, R. and Taylor, A. (2011) Model-based fault monitoring of a plastic film extrusion process. IET Control Theory and Applications, 5 (18). pp. 2075-2088. ISSN 1751-8644

Giovanini, L. (2011) Game approach to distributed model predictive control. IET Control Theory and Applications, 5 (15). pp. 1729-1739. ISSN 1751-8644

Wahab, N.A. and Katebi, M.R. and Balderud, J. and Rahmat, M.F. (2011) Data-driven adaptive model-based predictive control with application in wastewater systems. IET Control Theory and Applications, 5 (6). pp. 803-812. ISSN 1751-8644

Grimble, M.J. and Majecki, P.M. (2010) Polynomial approach to nonlinear predictive generalized minimum variance control. IET Control Theory and Applications, 4 (3). pp. 411-424. ISSN 1751-8644

This list was generated on Sat Jan 20 14:10:44 2018 GMT.