 | 2012 |
| 15 |  | Filip Logist,
M. Vallerio,
Boris Houska,
Moritz Diehl,
Jan F. M. Van Impe:
Multi-objective optimal control of chemical processes using ACADO toolkit.
Computers & Chemical Engineering 37: 191-199 (2012) |
| 14 |  | Peter M. M. Van Erdeghem,
Filip Logist,
Christoph Dittrich,
Jan F. M. Van Impe:
Detailed steady-state simulation of tubular reactors for LDPE production: Influence of numerical integration accuracy.
Computers & Chemical Engineering 37: 40-47 (2012) |
| 13 |  | Nabeel S. Abo-Ghander,
Filip Logist,
John R. Grace,
Jan F. M. Van Impe,
Said S. E. H. Elnashaie,
C. Jim Lim:
Comparison of diffusion models in the modeling of a catalytic membrane fixed bed reactor coupling dehydrogenation of ethylbenzene with hydrogenation of nitrobenzene.
Computers & Chemical Engineering 38: 11-23 (2012) |
| 12 |  | Pieter Van den Kerkhof,
Geert Gins,
Jef Vanlaer,
Jan F. M. Van Impe:
Dynamic model-based fault diagnosis for (bio)chemical batch processes.
Computers & Chemical Engineering 40: 12-21 (2012) |
| 2011 |
| 11 |  | Geert Gins,
Bert Pluymers,
Ilse Y. Smets,
Jairo Espinosa,
Jan F. M. Van Impe:
Prediction of Batch-End Quality for an Industrial Polymerization Process.
ICDM 2011: 314-328 |
| 10 |  | Andreas Potschka,
Filip Logist,
Jan F. M. Van Impe,
Hans Georg Bock:
Tracing the Pareto frontier in bi-objective optimization problems by ODE techniques.
Numerical Algorithms 57(2): 217-233 (2011) |
| 2010 |
| 9 |  | Julian Bonilla Alarcon,
Moritz Diehl,
Filip Logist,
Bart De Moor,
Jan F. M. Van Impe:
An automatic initialization procedure in parameter estimation problems with parameter-affine dynamic models.
Computers & Chemical Engineering 34(6): 953-964 (2010) |
| 2009 |
| 8 |  | Julian Bonilla Alarcon,
Moritz Diehl,
Filip Logist,
Bart De Moor,
Jan F. M. Van Impe:
A convex approximation for parameter estimation involving parameter-affine dynamic models.
CDC 2009: 4670-4675 |
| 7 |  | Boris Houska,
Filip Logist,
Jan F. M. Van Impe,
Moritz Diehl:
Approximate robust optimization of time-periodic stationary states with application to biochemical processes.
CDC 2009: 6280-6285 |
| 2008 |
| 6 |  | Julian Bonilla Alarcon,
Moritz Diehl,
Bart De Moor,
Jan F. M. Van Impe:
A nonlinear least squares estimation procedure without initial parameter guesses.
CDC 2008: 5519-5524 |
| 5 |  | Geert Gins,
Ilse Y. Smets,
Jan F. M. Van Impe:
Efficient Tracking of the Dominant Eigenspace of a Normalized Kernel Matrix.
Neural Computation 20(2): 523-554 (2008) |
| 2006 |
| 4 |  | Geert Gins,
Jairo Espinosa,
Ilse Y. Smets,
Wim Van Brempt,
Jan F. M. Van Impe:
Data Alignment Via Dynamic Time Warping as a Prerequisite for Batch-End Quality Prediction.
Industrial Conference on Data Mining 2006: 506-510 |
| 2005 |
| 3 |  | Kristel Bernaerts,
Jan F. M. Van Impe:
Optimal dynamic experiment design for estimation of microbial growth kinetics at sub-optimal temperatures: Modes of implementation.
Simulation Modelling Practice and Theory 13(2): 129-138 (2005) |
| 2004 |
| 2 |  | F. Poschet,
Kristel Bernaerts,
A. H. Geeraerd,
N. Scheerlinck,
B. M. Nicolaï,
Jan F. M. Van Impe:
Sensitivity analysis of microbial growth parameter distributions with respect to data quality and quantity by using Monte Carlo analysis.
Mathematics and Computers in Simulation 65(3): 231-243 (2004) |
| 2002 |
| 1 |  | Ilse Y. Smets,
Jan F. M. Van Impe:
Optimal control of (bio-)chemical reactors: generic properties of time and space dependent optimization.
Mathematics and Computers in Simulation 60(6): 475-486 (2002) |