In the same section
Peer-reviewed journal articles
Macroscopic Modeling of Intracellular Trehalose Concentration in Saccharomyces cerevisiae Fed-batch Cultures
Huet, A., Sbarciog, M., & Bogaerts, P. (2022). Macroscopic Modeling of Intracellular Trehalose Concentration in Saccharomyces cerevisiae Fed-batch Cultures. IFAC-PapersOnLine, 55(20), 391-396. doi:10.1016/j.ifacol.2022.09.126
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
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
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