Contributions to collective works (1)
  1. 1. Wyns, B., Sbarciog, M., Ionescu, C., Boullart, L., & De Keyser, R. (2004). Neural network modelling versus physical modelling: Application to a solar power plant. In Neural network modelling versus physical modelling: Application to a solar power plant. Ciemat.(Improving Human Potential Programme. Access to Research Infrastructures Activity).
    2.   Peer-reviewed journal articles (45)
  2. 1. Huet, A., Sbarciog, M., & Bogaerts, P. (2024). Unstructured dynamical models for S. cerevisiae cultures fed with glucose and ammonium. IFAC-PapersOnLine, 58(14), 204-209.
  3. 2. De Buck, V., Sbarciog, M., Cras, J., Bhonsale, S., Polanska, M., & Van Impe, J. (2023). Critical analysis of the use of white-box versus black-box models for multi-objective optimisation of small-scale biorefineries. Frontiers in Food Science and Technology, 3. doi:10.3389/frfst.2023.1154305
  4. 3. 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
  5. 4. 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.
  6. 5. Bhonsale, S., Descamps, M., Sbarciog, M., Sopasakis, P., & Van Impe, J. (2022). Risk Averse Model Predictive Control of Bioreactors. IFAC-PapersOnLine, 55(7), 928–933.
  7. 6. Rueda-Escobedo, J., Sbarciog, M., Moreno, J. A., Van Impe, J., & Vande Wouwer, A. (2022). Robust state and input estimation with enhanced convergence rate for monitoring anaerobic digestion. Journal of process control, 117, 169-180. doi:10.1016/j.jprocont.2022.07.014
  8. 7. Sbarciog, M., De Buck, V., Akkermans, S., Bhonsale, S., Polanska , M., & Van Impe, J. (2022). Design, Implementation and Simulation of a Small-Scale Biorefinery Model. Processes, 10, 829.
  9. 8. De Buck, V., Sbarciog, M., Polanska , M., & Van Impe, J. (2022). Assessing the Local Biowaste Potential of Rural and Developed Areas Using GIS-Data and Clustering Techniques: Towards a Decision Support Tool. Frontiers in Chemical Engineering, 4. doi:10.3389/fceng.2022.825045
  10. 9. Sbarciog, M., Bhonsale, S., De Buck, V., Akkermans, S., Polanska , M., & Van Impe, J. (2022). Modelling and Simulation of Co-digestion in Anaerobic Digestion Systems. IFAC-PapersOnLine, 55(20), 403-408. doi:10.1016/j.ifacol.2022.09.128
  11. 10. Garcia-Tenorio, C., Mojica-Nava, E., Sbarciog, M., & Vande Wouwer, A. (2021). Analysis of the ROA of an anaerobic digestion process via data-driven Koopman operator. Nonlinear Engineering, 10(1), 109-131. doi:10.1515/nleng-2021-0009
  12. 11. Garcia-Tenorio, C., Sbarciog, M., Mojica-Nava, E., & Vande Wouwer, A. (2020). Linearization in the Large of the Anaerobic Digestion Process Using a Reduced-Order Koopman Operator. IFAC-PapersOnLine, 53(2), 16840-16845. doi:10.1016/j.ifacol.2020.12.1184
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