Optimal control of (bio-)chemical reactors: generic properties of time and space dependent optimizationSMETS, Ilse Y; VAN IMPE, Jan F.Mathematics and computers in simulation. 2002, Vol 60, Num 6, pp 475-486, issn 0378-4754, 12 p.Article

Tuning of NMPC controllers via multi-objective optimisationVALLERIO, Mattia; VAN IMPE, Jan; LOGIST, Filip et al.Computers & chemical engineering. 2014, Vol 61, pp 38-50, issn 0098-1354, 13 p.Article

Special Issue: Modelling and Control in BioprocessesVAN STRATEN, Gerrit; DOCHAIN, Denis; VAN IMPE, Jan et al.Journal A. 2000, Vol 41, Num 3, issn 0771-1107, 88 p.Serial Issue

On the stabilization of microbial growth processes with non-monotonic kinetics in fed-batch bioreactorsSMETS, Lise Y; BASTIN, Georges; VAN IMPE, Jan F et al.Journal A. 2000, Vol 41, Num 3, pp 24-28, issn 0771-1107Article

Quality assessment of a variance estimator for Partial Least Squares prediction of batch-end qualityVANLAER, Jef; GINS, Geert; VAN IMPE, Jan F. M et al.Computers & chemical engineering. 2013, Vol 52, pp 230-239, issn 0098-1354, 10 p.Article

Robust multi-objective optimal control of uncertain (bio)chemical processesLOGIST, Filip; HOUSKA, Boris; DIEHL, Moritz et al.Chemical engineering science. 2011, Vol 66, Num 20, pp 4670-4682, issn 0009-2509, 13 p.Article

Growth and indole-3-acetic acid biosynthesis of Azospirillum brasilense Sp245 is environmentally controlledONA, Ositadinma; VAN IMPE, Jan; PRINSEN, Els et al.FEMS microbiology letters. 2005, Vol 246, Num 1, pp 125-132, issn 0378-1097, 8 p.Article

Computation of optimal identification experiments for nonlinear dynamic process models: a stochastic global optimization approachBANGA, Julio R; VERSYCK, Karina J; VAN IMPE, Jan F et al.Industrial & engineering chemistry research. 2002, Vol 41, Num 10, pp 2425-2430, issn 0888-5885Article

Modelling, identification and control of wastewater treatment plants for nitrogen removalWEIJERS, Stefan.Journal A. 2000, Vol 41, Num 3, pp 74-81, issn 0771-1107Article

Feedback stabilization of fed-batch bioreactors: Non-monotonic growth kineticsSMETS, Ilse Y; BASTIN, Georges P; VAN IMPE, Jan F et al.Biotechnology progress. 2002, Vol 18, Num 5, pp 1116-1125, issn 8756-7938, 10 p.Article

A novel method for high-throughput data collection in predictive microbiology: Optical density monitoring of colony growth as a function of timeMERTENS, Laurence; VAN DERLINDEN, Eva; VAN IMPE, Jan F et al.Food microbiology. 2012, Vol 32, Num 1, pp 196-201, issn 0740-0020, 6 p.Article

Involvement of glnB, glnZ, and glnD genes in the regulation of poly-3-hydroxybutyrate biosynthesis by ammonia in Azospirillum brasilense Sp7JUN SUN; VAN DOMMELEN, Anne; VAN IMPE, Jan et al.Applied and environmental microbiology (Print). 2002, Vol 68, Num 2, pp 985-988, issn 0099-2240, 4 p.Article

Effect of cell immobilization on heat-induced sublethal injury of Escherichia coli, Salmonella Typhimurium and Listeria innocuaNORIEGA, Estefanía; VELLIOU, Eirini; VAN DERLINDEN, Eva et al.Food microbiology. 2013, Vol 36, Num 2, pp 355-364, issn 0740-0020, 10 p.Article

Hybrid Derivative Dynamic Time Warping for Online Industrial Batch-End Quality EstimationGINS, Geert; VAN DEN KERKHOF, Pieter; VAN IMPE, Jan F. M et al.Industrial & engineering chemistry research. 2012, Vol 51, Num 17, pp 6071-6084, issn 0888-5885, 14 p.Article

Food engineering and predictive microbiology : on the necessity to combine biological and physical kineticsMAFART, P.International journal of food microbiology. 2005, Vol 100, Num 1-3, pp 239-251, issn 0168-1605, 13 p.Conference Paper

Linearization of the activated sludge model ASM1 for fast and reliable predictionsSMETS, Ilse Y; HAEGEBAERT, Jeroen V; CARRETTE, Ronald et al.Water research (Oxford). 2003, Vol 37, Num 8, pp 1831-1851, issn 0043-1354, 21 p.Article

A development environment for predictive modelling in foodsHOLMES, G; HALL, M. A.International journal of food microbiology. 2002, Vol 73, Num 2-3, pp 351-362, issn 0168-1605Conference Paper

The RAYMOND simulation package — Generating RAYpresentative MONitoring Data to design advanced process monitoring and control algorithmsGINS, Geert; VANLAER, Jef; VAN DEN KERKHOF, Pieter et al.Computers & chemical engineering. 2014, Vol 69, pp 108-118, issn 0098-1354, 11 p.Article

Development of a global stochastic model relating the distribution of individual cell and population physiological statesMCKELLAR, R. C; LU, X.International journal of food microbiology. 2005, Vol 100, Num 1-3, pp 33-40, issn 0168-1605, 8 p.Conference Paper

Modelling bacterial growth in quantitative microbiological risk assessment: is it possible?NAUTA, Maarten J.International journal of food microbiology. 2002, Vol 73, Num 2-3, pp 297-304, issn 0168-1605Conference Paper

Stochastic modelling of bacterial lag phaseBARANYI, Jozsef.International journal of food microbiology. 2002, Vol 73, Num 2-3, pp 203-206, issn 0168-1605Conference Paper

Application of recurrent neural network to predict bacterial growth in dynamic conditionsCHEROUTRE-VIALETTE, M; LEBERT, A.International journal of food microbiology. 2002, Vol 73, Num 2-3, pp 107-118, issn 0168-1605Conference Paper

Parameter Identification and Modeling of the Biochemical Methane Potential of Waste Activated SludgeAPPELS, Lise; LAUWERS, Joost; GINS, Geert et al.Environmental science & technology. 2011, Vol 45, Num 9, pp 4173-4178, issn 0013-936X, 6 p.Article

Microbiological risk assessment models for partitioning and mixing during food handlingNAUTA, Maarten J.International journal of food microbiology. 2005, Vol 100, Num 1-3, pp 311-322, issn 0168-1605, 12 p.Conference Paper

Simulation of the effect of sausage ingredients and technology on the functionality of the bacteriocin-producing Lactobacillus sakei CTC 494 strainLEROY, Frédéric; DE VUYST, Luc.International journal of food microbiology. 2005, Vol 100, Num 1-3, pp 141-152, issn 0168-1605, 12 p.Conference Paper