1 |
A Surrogate Modelling Approach Based on Nonlinear Dimension Reduction for Uncertainty Quantification in Groundwater Flow Models Gadd C, Xing W, Nezhad MM, Shah AA Transport in Porous Media, 126(1), 39, 2019 |
2 |
Uncertainty quantification and sensitivity analysis of the domestic hot water usage in hotels Pang ZH, O'Neill Z Applied Energy, 232, 424, 2018 |
3 |
Milstein Approximation for Advection-Diffusion Equations Driven by Multiplicative Noncontinuous Martingale Noises Barth A, Lang A Applied Mathematics and Optimization, 66(3), 387, 2012 |
4 |
Optimal operation of GaN thin film epitaxy employing control vector parametrization Varshney A, Armaou A AIChE Journal, 52(4), 1378, 2006 |
5 |
Battery open-circuit voltage estimation by a method of statistical analysis Snihir I, Rey W, Verbitskiy E, Belfadhel-Ayeb A, Notten PHL Journal of Power Sources, 159(2), 1484, 2006 |
6 |
System identification and model-based control for distributed parameter systems Zheng D, Hoo KA Computers & Chemical Engineering, 28(8), 1361, 2004 |
7 |
Dynamic optimization of dissipative PDE systems using nonlinear order reduction Armaou A, Christofides PD Chemical Engineering Science, 57(24), 5083, 2002 |
8 |
Low-order control-relevant models for a class of distributed parameter systems Hoo KA, Zheng DG Chemical Engineering Science, 56(23), 6683, 2001 |
9 |
KLE-(V)AR: A new identification technique for reduced order disturbance models with application to sheet forming processes Rigopoulos A, Arkun Y Journal of Process Control, 11(6), 679, 2001 |
10 |
Optimization of transport-reaction processes using nonlinear model reduction Bendersky E, Christofides PD Chemical Engineering Science, 55(19), 4349, 2000 |