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  4. Publications

3BIO-BioControl Team Publications

Peer-reviewed journal articles
 

A Simulation Study on Model-Based Optimization of Intracellular Trehalose Accumulation in Saccharomyces cerevisiae Fed-Batch Cultures

Sbarciog, M., Huet, A., & Bogaerts, P. (2022). A Simulation Study on Model-Based Optimization of Intracellular Trehalose Accumulation in Saccharomyces cerevisiae Fed-Batch Cultures. IFAC-PapersOnLine, 55, 762--767.  

 

Discopolis 2.0: A new recursive version of the algorithm for uniform sampling of metabolic flux distributions with linear programming

Bogaerts, P., & Rooman, M. (2021). Discopolis 2.0: A new recursive version of the algorithm for uniform sampling of metabolic flux distributions with linear programming. IFAC-PapersOnLine, 54(3), 300-305. doi:10.1016/j.ifacol.2021.08.258  

 

How to Tackle Underdeterminacy in Metabolic Flux Analysis? A Tutorial and Critical Review

Bogaerts, P., & Vande Wouwer, A. (2021). How to Tackle Underdeterminacy in Metabolic Flux Analysis? A Tutorial and Critical Review. Processes, 9(9), 1577. doi:10.3390/pr9091577  

 

Selection of a minimal suboptimal set of EFMs for dynamic metabolic modelling

Maton, M., Bogaerts, P., & Wouwer, A. V. (2021). Selection of a minimal suboptimal set of EFMs for dynamic metabolic modelling. IFAC-PapersOnLine, 54(3), 667-672. doi:10.1016/j.ifacol.2021.08.318  

 

Modeling the Molecular Impact of SARS-CoV-2 Infection on the Renin-Angiotensin System

Pucci, F., Bogaerts, P., & Rooman, M. (2020). Modeling the Molecular Impact of SARS-CoV-2 Infection on the Renin-Angiotensin System. Viruses, 12(12), 1367. doi:10.3390/v12121367  

 

Adaptive flux variability analysis of HEK cell cultures

Abbate, T., Dewasme, L., Wouwer, A. V., & Bogaerts, P. (2020). Adaptive flux variability analysis of HEK cell cultures. Computers & chemical engineering, 133, 106633. doi:10.1016/j.compchemeng.2019.106633  

 

FBA-based simulator of Saccharomyces cerevisiae fed-batch cultures involving an internal unbalanced metabolite

Plaza Dorado, J., & Bogaerts, P. (2019). FBA-based simulator of Saccharomyces cerevisiae fed-batch cultures involving an internal unbalanced metabolite. IFAC-PapersOnLine, 52(26), 169-174. doi:10.1016/j.ifacol.2019.12.253  

 

FBA-based prediction of biomass and ethanol concentration time profiles in: Saccharomyces cerevisiae FED-bath cultures

Plaza Dorado, J., & Bogaerts, P. (2019). FBA-based prediction of biomass and ethanol concentration time profiles in: Saccharomyces cerevisiae FED-bath cultures. IFAC-PapersOnLine, 52(1), 82-87. doi:10.1016/j.ifacol.2019.06.041  

 

Determining a unique solution to underdetermined metabolic networks via a systematic path through the Most Accurate Fluxes

Gziri, K. M., & Bogaerts, P. (2019). Determining a unique solution to underdetermined metabolic networks via a systematic path through the Most Accurate Fluxes. IFAC-PapersOnLine, 52(1), 352-357. doi:10.1016/j.ifacol.2019.06.087  

 

Adaptive flux variability analysis: A tool to deal with uncertainties

Abbate, T., Dewasme, L., Bogaerts, P., & Vande Wouwer, A. (2019). Adaptive flux variability analysis: A tool to deal with uncertainties. IFAC-PapersOnLine, 52(1), 70-75. doi:10.1016/j.ifacol.2019.06.039  

 

DISCOPOLIS : an algorithm for uniform sampling of metabolic flux distributions via iterative sequences of linear programs

Bogaerts, P., & Rooman, M. (2019). DISCOPOLIS : an algorithm for uniform sampling of metabolic flux distributions via iterative sequences of linear programs. IFAC-PapersOnLine, 52-26, 269-274.  

 

Mathematical modeling and dynamic analysis of complex biological systems

Vande Wouwer, A., Bogaerts, P., Van Impe, J., & Vargas, A. (2019). Mathematical modeling and dynamic analysis of complex biological systems. Complexity, 2019, 4858423. doi:10.1155/2019/4858423  

 

Dynamic flux balance analysis for predicting biomass growth and ethanol production in yeast fed-batch cultures

Plaza Dorado, J., & Bogaerts, P. (2018). Dynamic flux balance analysis for predicting biomass growth and ethanol production in yeast fed-batch cultures. IFAC-PapersOnLine, 51(2), 631-636. doi:10.1016/j.ifacol.2018.03.107  

 

From MFA to FBA: Defining linear constraints accounting for overflow metabolism in a macroscopic FBA-based dynamical model of cell cultures in bioreactor

Bogaerts, P., Mhallem Gziri, K., & Richelle, A. (2017). From MFA to FBA: Defining linear constraints accounting for overflow metabolism in a macroscopic FBA-based dynamical model of cell cultures in bioreactor. Journal of process control, 60, 34-47. doi:10.1016/j.jprocont.2017.06.018  

 

A methodology for building a macroscopic FBA-based dynamical simulator of cell cultures through flux variability analysis

Richelle, A., Gziri, K. M., & Bogaerts, P. (2016). A methodology for building a macroscopic FBA-based dynamical simulator of cell cultures through flux variability analysis. Biochemical engineering journal, 114, 50-61. doi:10.1016/j.bej.2016.06.017  

 

Design of a Robust Lipschitz Observer-Application to monitoring of culture of micro-algae Scenesdesmus obliquus

Feudjio, C., Bogaerts, P., Deschenes, J. S., & Wouwer, A. V. (2016). Design of a Robust Lipschitz Observer-Application to monitoring of culture of micro-algae Scenesdesmus obliquus. IFAC-PapersOnLine, 49(7), 1056-1061. doi:10.1016/j.ifacol.2016.07.342  

 

DYNAMIC MICROORGANISM GROWTH MODELING FOR SHELF LIFE PREDICTION: APPLICATION TO COOKED AND BRINED SHRIMPS

Diallo, M. A., & Bogaerts, P. (2016). DYNAMIC MICROORGANISM GROWTH MODELING FOR SHELF LIFE PREDICTION: APPLICATION TO COOKED AND BRINED SHRIMPS. IFAC-PapersOnLine, 49(7), 230-235. doi:10.1016/j.ifacol.2016.07.263  

 

FROM MFA TO FBA: LEGITIMATING OBJECTIVE FUNCTION AND LINEAR CONSTRAINTS

Bogaerts, P., Gziri, K. M., & Richelle, A. (2016). FROM MFA TO FBA: LEGITIMATING OBJECTIVE FUNCTION AND LINEAR CONSTRAINTS. IFAC-PapersOnLine, 49(7), 460-465. doi:10.1016/j.ifacol.2016.07.385  

 

Systematic methodology for bioprocess model identification based on generalized kinetic functions

Richelle, A., & Bogaerts, P. (2015). Systematic methodology for bioprocess model identification based on generalized kinetic functions. Biochemical engineering journal, 100, 41-49. doi:10.1016/j.bej.2015.04.003  

 

Extended and Unscented Kalman Filter design for hybridoma cell fed-batch and continuous cultures

Fernandes, S., Richelle, A., Amribt, Z., Dewasme, L., Bogaerts, P., & Wouwer, A. V. (2015). Extended and Unscented Kalman Filter design for hybridoma cell fed-batch and continuous cultures. IFAC proceedings volumes, 48(8), 1108-1113. doi:10.1016/j.ifacol.2015.09.116  

 

Macroscopic modelling of intracellular reserve carbohydrates production during Baker's yeast cultures

Richelle, A., & Bogaerts, P. (2015). Macroscopic modelling of intracellular reserve carbohydrates production during Baker's yeast cultures. IFAC proceedings volumes, 48(1), 731-736. doi:10.1016/j.ifacol.2015.05.115  

 

Macroscopic modelling of bioethanol production from potato peel wastes in batch cultures supplemented with inorganic nitrogen

Richelle, A., Ben Tahar, I., Hassouna, M., & Bogaerts, P. (2015). Macroscopic modelling of bioethanol production from potato peel wastes in batch cultures supplemented with inorganic nitrogen. Bioprocess and biosystems engineering, 38(9), 1819-1833. doi:10.1007/s00449-015-1423-6  

 

State estimation and predictive control of fed-batch cultures of hybridoma cells

Dewasme, L., Fernandes, S., Amribt, Z., Santos, L. L., Bogaerts, P., & Vande Wouwer, A. (2015). State estimation and predictive control of fed-batch cultures of hybridoma cells. Journal of process control., DOI: 10.1016/j.jprocont.2014.12.006. doi:10.1016/j.jprocont.2014.12.006  

 

Off-line optimization of baker's yeast production process

Richelle, A., & Bogaerts, P. (2014). Off-line optimization of baker's yeast production process. Chemical engineering science, 119, 40-52. doi:10.1016/j.ces.2014.07.059  

 

Macroscopic modelling of baker's yeast production in fed-batch cultures and its link with trehalose production

Richelle, A., Fickers, P., & Bogaerts, P. (2014). Macroscopic modelling of baker's yeast production in fed-batch cultures and its link with trehalose production. Computers & chemical engineering, 61, 220-233. doi:10.1016/j.compchemeng.2013.11.007  

 

Robust nonlinear state estimation of bioreactors based on H? hybrid observers

Bogaerts, P., & Coutinho, D. F. (2014). Robust nonlinear state estimation of bioreactors based on H? hybrid observers. Computers & chemical engineering, 60, 315-328. doi:10.1016/j.compchemeng.2013.09.013  

 

Optimization and robustness analysis of hybridoma cell fed-batch cultures using the overflow metabolism model

Amribt, Z., Dewasme, L., Vande Wouwer, A., & Bogaerts, P. (2014). Optimization and robustness analysis of hybridoma cell fed-batch cultures using the overflow metabolism model. Bioprocess and biosystems engineering, 37, DOI 10.1007/s00449-014-1136-2, 1637-1652. doi:10.1007/s00449-014-1136-2  

 

Parameter identification for state estimation: Design of an extended Kalman filter for hybridoma cell fed-batch cultures

Amribt, Z., Dewasme, L., Wouwer, A. V., & Bogaerts, P. (2014). Parameter identification for state estimation: Design of an extended Kalman filter for hybridoma cell fed-batch cultures. IFAC proceedings volumes, 19, 1170-1175.  

 

Metabolic pathway analysis and reduction for mammalian cell cultures-Towards macroscopic modeling

Niu, H., Amribt, Z., Fickers, P., Tan, W., & Bogaerts, P. (2013). Metabolic pathway analysis and reduction for mammalian cell cultures-Towards macroscopic modeling. Chemical engineering science, 102, 461-473. doi:10.1016/j.ces.2013.07.034  

 

Hybridoma cell culture optimization using nonlinear model predictive control

Dewasme, L., Vande Wouwer, A., Amribt, Z., Bogaerts, P., Santos, L. L., & Hantson, A. L. (2013). Hybridoma cell culture optimization using nonlinear model predictive control. IFAC proceedings volumes, 12(PART 1), 60-65. doi:10.3182/20131216-3-IN-2044.00045  

 

Optimal operation of hybridoma cell fed-batch cultures using the overflow metabolism model: Numerical and analytical approach

Amribt, Z., Bogaerts, P., Dewasme, L., & Vande Wouwer, A. (2013). Optimal operation of hybridoma cell fed-batch cultures using the overflow metabolism model: Numerical and analytical approach. IFAC proceedings volumes, 12(PART 1), 267-272. doi:10.3182/20131216-3-IN-2044.00028  

 

Macroscopic modelling of overflow metabolism and model based optimization of hybridoma cell fed-batch cultures

Amribt, Z., Niu, H., & Bogaerts, P. (2013). Macroscopic modelling of overflow metabolism and model based optimization of hybridoma cell fed-batch cultures. Biochemical engineering journal, 70, 196-209.  

 

Dynamic modeling of methylotrophic Pichia pastoris culture with exhaust gas analysis: from cellular metabolism to process simulation

Niu, H., Daukandt, M., Rodriguez, C., Fickers, P., & Bogaerts, P. (2013). Dynamic modeling of methylotrophic Pichia pastoris culture with exhaust gas analysis: from cellular metabolism to process simulation. Chemical engineering science, 87, 381-392.  

 

Macroscopic modelling of overflow metabolism in fed-batch cultures of hybridoma cells

Amribt, Z., Niu, H., & Bogaerts, P. (2012). Macroscopic modelling of overflow metabolism in fed-batch cultures of hybridoma cells. IFAC proceedings volumes, 45, 641-646.  

 

Linear robust control of S. cerevisiae fed-batch cultures at different scales

Dewasme, L., Richelle, A., Dehottay, P., Georges, P., Remy, M., Bogaerts, P., & Vande Wouwer, A. (2010). Linear robust control of S. cerevisiae fed-batch cultures at different scales. Biochemical engineering journal, 53(1), 26-37. doi:10.1016/j.bej.2009.10.001  

 

Simple metabolic modelling of vero cell growth on glucose in fixed-bed bioreactors

Friesewinkel, P., Niu, H., Bogaerts, P., & Drugmand, J.-C. (2010). Simple metabolic modelling of vero cell growth on glucose in fixed-bed bioreactors. IFAC proceedings volumes, 11(PART 1), 485-490. doi:10.3182/20100707-3-BE-2012.0092  

 

Monitoring and robust adaptive control of fed-batch cultures of microorganisms exhibiting overflow metabolism

Dewasme, L., Wouwer, A. V., & Bogaerts, P. (2010). Monitoring and robust adaptive control of fed-batch cultures of microorganisms exhibiting overflow metabolism. Biotechnologie, agronomie, société et environnement, 14(SPEC. ISSUE 2), 538.  

 

Fast and accurate predictions of protein stability changes upon mutations using statistical potentials and neural networks: PoPMuSiC-2.0.

Dehouck, Y., Grosfils, A., Folch, B., Gilis, D., Bogaerts, P., & Rooman, M. (2009). Fast and accurate predictions of protein stability changes upon mutations using statistical potentials and neural networks: PoPMuSiC-2.0. Bioinformatics, 25(19), 2537-2543. doi:10.1093/bioinformatics/btp445  

 

Modeling the temporal evolution of the Drosophila gene expression from DNA microarray time series.

Haye, A., Dehouck, Y., Kwasigroch, J.-M., Bogaerts, P., & Rooman, M. (2009). Modeling the temporal evolution of the Drosophila gene expression from DNA microarray time series. Physical biology, 6(1), 016004. doi:10.1088/1478-3975/6/1/016004  

 

A robust method for the joint estimation of yield coefficients and kinetic parameters in bioprocess models.

Vastemans, V., Rooman, M., & Bogaerts, P. (2009). A robust method for the joint estimation of yield coefficients and kinetic parameters in bioprocess models. Biotechnology progress, 25(3), 606-618. doi:10.1002/btpr.89  

 

Modeling slow-wave activity dynamics: does an exponentially dampened periodic function really fit a single night of normal human sleep?

Preud'homme, X. A., Lanquart, J. P., Krystal, A. D., Bogaerts, P., & Linkowski, P. (2008). Modeling slow-wave activity dynamics: does an exponentially dampened periodic function really fit a single night of normal human sleep? Clinical neurophysiology, 119(12), 2753-2761. doi:10.1016/j.clinph.2008.09.016  

 

State observer scheme for joint kinetic parameter and state estimation

Hulhoven, X., Vande Wouwer, A., & Bogaerts, P. (2008). State observer scheme for joint kinetic parameter and state estimation. Chemical engineering science, 63(19), 4810-4819. doi:10.1016/j.ces.2007.11.042  

 

Validation of an automatic comet assay analysis system integrating the curve fitting of combined comet intensity profiles

Dehon, G., Catoire, L., Duez, P., Bogaerts, P., & Dubois, J. (2008). Validation of an automatic comet assay analysis system integrating the curve fitting of combined comet intensity profiles. Mutation research. Genetic toxicology and environmental mutagenesis, 650(2), 87-95.  

 

Systematic decoupled identification of pseudo-stoichiometry, degradation rates and kinetics

Grosfils, A., Vande Wouwer, A., & Bogaerts, P. (2007). Systematic decoupled identification of pseudo-stoichiometry, degradation rates and kinetics. Computers & chemical engineering, 31(11), 1449-1455. doi:10.1016/j.compchemeng.2006.12.007  

 

On a general model structure for macroscopic biological reaction rates.

Grosfils, A., Vande Wouwer, A., & Bogaerts, P. (2007). On a general model structure for macroscopic biological reaction rates. Journal of biotechnology, 130(3), 253-264. doi:10.1016/j.jbiotec.2007.04.006  

 

Receding-horizon estimation and control of ball mill circuits

Lepore, R., Vande Wouwer, A., Remy, M., & Bogaerts, P. (2007). Receding-horizon estimation and control of ball mill circuits. Lecture notes in control and information sciences, 358(1), 485-493. doi:10.1007/978-3-540-72699-9_40  

 

A general kinetic model structure simulation and experimental validation

Grosfils, A., Wouwer, A. V., & Bogaerts, P. (2007). A general kinetic model structure simulation and experimental validation. IFAC proceedings volumes, 10, 37-42.  

 

Experimental study of neural network software sensors in yeast and bacteria fed-batch processes

Dewasme, L., Wouwer, A. V., Dessoy, S., Dehottay, P., Hulhoven, X., & Bogaerts, P. (2007). Experimental study of neural network software sensors in yeast and bacteria fed-batch processes. IFAC proceedings volumes, 10, 49-54.  

 

Parameter identification to enforce practical observability of nonlinear systems

Goffaux, G., Bodizs, L., Wouwer, A. V., Bogaerts, P., & Bonvin, D. (2007). Parameter identification to enforce practical observability of nonlinear systems. IFAC proceedings volumes, 10, 225-230.  

 

Hybrid extended Luenberger-asymptotic observer for bioprocess state estimation

Hulhoven, X., Vande Wouwer, A., & Bogaerts, P. (2006). Hybrid extended Luenberger-asymptotic observer for bioprocess state estimation. Chemical engineering science, 61(21), 7151-7160. doi:10.1016/j.ces.2006.06.018  

 

A short note on SPSA techniques and their use in nonlinear bioprocess identification

Vande Wouwer, A., Renotte, C., & Bogaerts, P. (2006). A short note on SPSA techniques and their use in nonlinear bioprocess identification. Mathematical and computer modelling of dynamical systems, 12(5), 415-422. doi:10.1080/13873950600723327  

 

Transient analysis of a wastewater treatment biofilter - Distributed parameter modelling and state estimation

Vande Wouwer, A., Renotte, C., Queinnec, I., & Bogaerts, P. (2006). Transient analysis of a wastewater treatment biofilter - Distributed parameter modelling and state estimation. Mathematical and computer modelling of dynamical systems, 12(5), 423-440. doi:10.1080/13873950600723335  

 

Mathematical modelling and control of chemical and bio-chemical processes

Van Impe, J., Smets, I., & Bogaerts, P. (2006). Mathematical modelling and control of chemical and bio-chemical processes. Mathematical and computer modelling of dynamical systems, 12(5), 377. doi:10.1080/13873950600723491  

 

Monitoring and control of a bioprocess for malaria vaccine production

Hulhoven, X., Bogaerts, P., Renard, F., Wouwer, A. V., Dessoy, S., & Dehottay, P. (2006). Monitoring and control of a bioprocess for malaria vaccine production. IFAC proceedings volumes, 5(PART 1), 143-148.  

 

On a systematic procedure for the predetermination of macroscopic reaction schemes

Hulhoven, X., Vande Wouwer, A., & Bogaerts, P. (2005). On a systematic procedure for the predetermination of macroscopic reaction schemes. Bioprocess and biosystems engineering, 27(5), 283-291. doi:10.1007/s00449-005-0406-4  

 

Special issue on bioprocess modelling and control

Wouwer, A. V., & Bogaerts, P. (2005). Special issue on bioprocess modelling and control. Bioprocess and biosystems engineering, 27(5), 281-282. doi:10.1007/s00449-005-0405-5  

 

Dynamic modeling of complex biological systems: A link between metabolic and macroscopic description

Haag, J. E., Vande Wouwer, A., & Bogaerts, P. (2005). Dynamic modeling of complex biological systems: A link between metabolic and macroscopic description. Mathematical biosciences, 193(1), 25-49. doi:10.1016/j.mbs.2004.11.007  

 

Hybrid neural network models of bioprocesses: A comparative study

Grosfils, A., Bogaerts, P., & Vande, W. W. (2005). Hybrid neural network models of bioprocesses: A comparative study. IFAC proceedings volumes, 16, 159-164.  

 

Maximum likelihood adaptive observer for bioprocesses

Hulhoven, X., & Bogaerts, P. (2005). Maximum likelihood adaptive observer for bioprocesses. IFAC proceedings volumes, 16, 85-90.  

 

Systematic procedure for the reduction of complex biological reaction pathways and the generation of macroscopic equivalents

Haag, J. E., Vande Wouwer, A., & Bogaerts, P. (2005). Systematic procedure for the reduction of complex biological reaction pathways and the generation of macroscopic equivalents. Chemical engineering science, 60(2), 459-465. doi:10.1016/j.ces.2004.07.128  

 

Biological reaction modeling using radial basis function networks

Vande Wouwer, A., Renotte, C., & Bogaerts, P. (2004). Biological reaction modeling using radial basis function networks. Computers & chemical engineering, 28(11), 2157-2164. doi:10.1016/j.compchemeng.2004.03.003  

 

Curve fitting of combined comet intensity profiles: A new global concept to quantify DNA damage by the comet assay

Dehon, G., Bogaerts, P., Duez, P., Catoire, L., & Dubois, J. (2004). Curve fitting of combined comet intensity profiles: A new global concept to quantify DNA damage by the comet assay. Chemometrics and intelligent laboratory systems, 73(2), 235-243. doi:10.1016/j.chemolab.2004.03.006  

 

Parameter identification for state estimation - Application to bioprocess software sensors

Bogaerts, P., & Vande Wouwer, A. (2004). Parameter identification for state estimation - Application to bioprocess software sensors. Chemical engineering science, 59(12), 2465-2476. doi:10.1016/j.ces.2004.01.066  

 

Fouling resistance modelling, identification and monitoring in a thermosiphon reboiler

Grosfils, V., Kinnaert, M., Bogaerts, P., & Hanus, R. (2004). Fouling resistance modelling, identification and monitoring in a thermosiphon reboiler. Chemical Engineering Science, 59, 489-499.  

 

Software sensor design for cement grinding circuits-practical issues

Lepore, R., Vande Wouwer, A., Remy, M., & Bogaerts, P. (2004). Software sensor design for cement grinding circuits-practical issues. IFAC proceedings volumes, 37(15), 59-64.  

 

Stochastic full horizon-asymptotic hybrid observer applied to a simulated cell culture

Hulhoven, X., Hanus, R., & Bogaerts, P. (2004). Stochastic full horizon-asymptotic hybrid observer applied to a simulated cell culture. IFAC proceedings volumes, 37(3), 25-30.  

 

Stochastic hybrid observer for bioprocess state estimation

Hulhoven, X., Hanus, R., & Bogaerts, P. (2004). Stochastic hybrid observer for bioprocess state estimation. IFAC proceedings volumes, 37(3), 19-24.  

 

Systematic decoupled identification of pseudo-stoichiometry, lysis rate and kinetics for a xylanase production

Grosfils, A., Wouwer, A. V., Gaspar, A., Dauvrin, T., & Bogaerts, P. (2004). Systematic decoupled identification of pseudo-stoichiometry, lysis rate and kinetics for a xylanase production. IFAC proceedings volumes, 37(3), 55-60.  

 

State and parameter estimation in cement grinding circuits-practical aspects

Lepore, R., Wouwer, A. V., Remy, M., & Bogaerts, P. (2004). State and parameter estimation in cement grinding circuits-practical aspects. IFAC proceedings volumes, 37(9), 745-750.  

 

Modelling and optimal experiment design for cultures of S. Cerevisiae

Renard, F., Wouwer, A. V., Hulhoven, X., & Bogaerts, P. (2004). Modelling and optimal experiment design for cultures of S. Cerevisiae. IFAC proceedings volumes, 37(3), 103-108.  

 

Systematic model identification of complex bioprocesses: Application to a CHO-K1 cell culture

Haag, J. E., Wouwer, A. V., Remy, M., & Bogaerts, P. (2004). Systematic model identification of complex bioprocesses: Application to a CHO-K1 cell culture. IFAC proceedings volumes, 37(3), 97-102.  

 

Software sensors for bioprocesses.

Bogaerts, P., & Vande Wouwer, A. (2003). Software sensors for bioprocesses. ISA transactions, 42(4), 547-558.  

 

Maximum likelihood estimation of pseudo-stoichiometry in macroscopic biological reaction schemes

Bogaerts, P., Delcoux, J.-L., & Hanus, R. (2003). Maximum likelihood estimation of pseudo-stoichiometry in macroscopic biological reaction schemes. Chemical engineering science, 58(8), 1545-1563. doi:10.1016/S0009-2509(02)00680-2  

 

From dynamic metabolic modeling to unstructured model identification of complex biosystems

Haag, J. E., Wouwer, A. V., & Bogaerts, P. (2003). From dynamic metabolic modeling to unstructured model identification of complex biosystems. IFAC proceedings volumes, 36(16), 145-150. doi:10.1016/S1474-6670(17)34753-5  

 

Hybrid full horizon-asymptotic observer for bioprocesses

Hulhoven, X., & Bogaerts, P. (2002). Hybrid full horizon-asymptotic observer for bioprocesses. IFAC proceedings volumes, 15(1), 419-424.  

 

Stability parameter estimation at ambient temperature from studies at elevated temperatures

Some, T. I., Bogaerts, P., Hanus, R., Hanocq, M., & Dubois, J. (2001). Stability parameter estimation at ambient temperature from studies at elevated temperatures. Journal of pharmaceutical sciences, 90(11), 1759-1766. doi:10.1002/jps.1125  

 

Neural network applications in non-linear modelling of (bio)chemical processes

Renotte, C., Vande Wouwer, A., Bogaerts, P., & Remy, M. (2001). Neural network applications in non-linear modelling of (bio)chemical processes. Measurement and control, 34(7), 197-201. doi:10.1177/002029400103400702  

 

On-line state estimation of bioprocesses with full horizon observers

Bogaerts, P., & Hanus, R. (2001). On-line state estimation of bioprocesses with full horizon observers. Mathematics and computers in simulation, 56(4-5), 425-441.  

 

?Feedback? and ?feedforward? conditioning techniques

Hanus, R., & Bogaerts, P. (2001). ?Feedback? and ?feedforward? conditioning techniques. European journal of control, 6(5), 421-434.  

 

Improved kinetic parameter estimation in pH-profile data treatment

Some, T. I., Bogaerts, P., Hanus, R., Hanocq, M., & Dubois, J. (2000). Improved kinetic parameter estimation in pH-profile data treatment. International journal of pharmaceutics, 198(1), 39-49. doi:10.1016/S0378-5173(99)00404-4  

 

Kinetic modelling and parameter identification for simulation and state estimation of bioprocesses

Bogaerts, P., Vande Wouwer, A., & Hanus, R. (2000). Kinetic modelling and parameter identification for simulation and state estimation of bioprocesses. Journal A, 41(3), 3-11.  

 

Modellidentifikation zur zustandsschätzung - Anwendung auf einen bioprozess

Bogaerts, P., & Vande Wouwer, A. (2000). Modellidentifikation zur zustandsschätzung - Anwendung auf einen bioprozess. Automatisierungstechnik, 48(5), 240-247. doi:10.1524/auto.2000.48.5.240  

 

Maximum likelihood parameter estimation of a hybrid neural-classical structure for the simulation of bioprocesses

Hanomolo, D., Bogaerts, P., Graefe, J., Cherlet, M., Werenne, J., & Hanus, R. (2000). Maximum likelihood parameter estimation of a hybrid neural-classical structure for the simulation of bioprocesses. Mathematics and computers in simulation, 51, 375-385.  

 

Incorporating batch effects in the estimation of drug stability parameters using an Arrhenius model

Some, T. I., Bogaerts, P., Hanus, R., Hanocq, M., & Dubois, J. (1999). Incorporating batch effects in the estimation of drug stability parameters using an Arrhenius model. International journal of pharmaceutics, 184(2), 165-172. doi:10.1016/S0378-5173(99)00017-4  

 

Multidrug resistance modifies polyamines uptake in P388 murine lymphoma cells: Experimental and modeling approach

Berlaimont, V., Bogaerts, P., Dubois, J., Hanus, R., & Hanocq, M. (1999). Multidrug resistance modifies polyamines uptake in P388 murine lymphoma cells: Experimental and modeling approach. Biophysical chemistry, 77(2-3), 161-171. doi:10.1016/S0301-4622(99)00020-4  

 

A hybrid asymptotic-Kalman observer for bioprocesses

Bogaerts, P. (1999). A hybrid asymptotic-Kalman observer for bioprocesses. Bioprocess Engineering, 20(3), 249-255. doi:10.1007/s004490050587  

 

A general mathematical modelling technique for bioprocesses in engineering applications

Bogaerts, P., Castillo, J., & Hanus, R. (1999). A general mathematical modelling technique for bioprocesses in engineering applications. Systems analysis, modelling, simulation, 35, 87-113.  

 

A new training method for hybrid models of bioprocesses

Graefe, J., Bogaerts, P., Castillo, J., Cherlet, M., Werenne, J., Marenbach, P., & Hanus, R. (1999). A new training method for hybrid models of bioprocesses. Bioprocess and biosystems engineering, 21(5), 423-429.  

 

Identification for fault detection in an industrial condenser

Bogaerts, P., Cuvelier, A., & Kinnaert, M. (1998). Identification for fault detection in an industrial condenser. Control Engineering Practice, 6, 1249-1256.  

 

Analytical solution of the non uniform heat exchange in a reactor cooling coil with constant fluid flow

Bogaerts, P., Castillo, J., & Hanus, R. (1996). Analytical solution of the non uniform heat exchange in a reactor cooling coil with constant fluid flow. Mathematics and computers in simulation, 43, 101-113.  

 

Mathematical modelling and control of a chemical batch reactor

Bogaerts, P., Kinnaert, M., Vanbergen, J. P., & Hanus, R. (1994). Mathematical modelling and control of a chemical batch reactor. Journal A, 35(1), 16-23.  

 





 
Updated on September 24, 2021