Batstone, D.J., Virdis, B., The role of anaerobic digestion in the emerging energy economy. Curr. Opin. Biotechnol. 27 (2014), 142–149.
Angelidaki, I., Ellegaard, L., Ahring, B.K., A comprehensive model of anaerobic bioconversion of complex substrates to biogas. Biotechnol. Bioeng. 63:3 (1999), 363–372.
Arnell, M., Astals, S., Åmand, L., Batstone, D.J., Jensen, P.D., Jeppsson, U., Modelling anaerobic co-digestion in benchmark simulation model no. 2: Parameter estimation, substrate characterisation and plant-wide integration. Water Res. 98 (2016), 138–146.
Ahmed, W., Rodríguez, J., A model predictive optimal control system for the practical automatic start-up of anaerobic digesters. Water Res., 174, 2020, 115599.
Gaida, D., Wolf, C., Bongards, M., Feed control of anaerobic digestion processes for renewable energy production: A review. Renew. Sustain. Energy Rev. 68 (2017), 869–875.
Ghanavati, M.A., Vafa, E., Shahrokhi, M., Control of an anaerobic bioreactor using a fuzzy supervisory controller. J. Process Control 103 (2021), 87–99.
Li, D., Lee, I., Kim, H., Application of the linearized ADM1 (LADM) to lab-scale anaerobic digestion system. J. Environ. Chem. Eng., 9(3), 2021, 105193.
Raposo, F., Borja, R., Ibelli-Bianco, C., Predictive regression models for biochemical methane potential tests of biomass samples: Pitfalls and challenges of laboratory measurements. Renew. Sustain. Energy Rev., 127, 2020, 109890.
Bernard, O., Hadj-Sadok, Z., Dochain, D., Genovesi, A., Steyer, J., Dynamical model development and parameter identification for an anaerobic wastewater treatment process. Biotechnol. Bioeng. 75:4 (2001), 424–438.
Batstone, D., Keller, J., Angelidaki, I., Kalyuzhnyi, S., Pavlostathis, S., Rozzi, A., Sanders, W., Siegrist, H., Vavilin, V., The IWA anaerobic digestion model no 1 (ADM1). Water Sci. Technol. 45:10 (2002), 65–73.
Enitan, A.M., Adeyemo, J., Swalaha, F.M., Kumari, S., Bux, F., Optimization of biogas generation using anaerobic digestion models and computational intelligence approaches. Rev. Chem. Eng. 33:3 (2017), 309–335.
Wang, L., Long, F., Liao, W., Liu, H., Prediction of anaerobic digestion performance and identification of critical operational parameters using machine learning algorithms. Bioresour. Technol., 298, 2020, 122495.
Ganeshan, P., Bose, A., Lee, J., Barathi, S., Rajendran, K., Machine learning for high solid anaerobic digestion: Performance prediction and optimization. Bioresour. Technol., 400, 2024, 130665.
Zaher, U., Li, R., Jeppsson, U., Steyer, J., Chen, S., GISCOD: General integrated solid waste co-digestion model. Water Res. 43:10 (2009), 2717–2727.
Mairet, F., Bernard, O., Ras, M., Lardon, L., Steyer, J., Modeling anaerobic digestion of microalgae using ADM1. Bioresour. Technol. 102:13 (2011), 6823–6829.
García-Gen, S., Lema, J.M., Rodríguez, J., Generalised modelling approach for anaerobic co-digestion of fermentable substrates. Bioresour. Technol. 147 (2013), 525–533.
Hassam, S., Ficara, E., Leva, A., Harmand, J., A generic and systematic procedure to derive a simplified model from the anaerobic digestion model No. 1 (ADM1). Biochem. Eng. J. 99 (2015), 193–203.
Kythreotou, N., Florides, G., Tassou, S.A., A review of simple to scientific models for anaerobic digestion. Renew. Energy 71 (2014), 701–714.
Jimenez, J., Latrille, E., Harmand, J., Robles, A., Ferrer, J., Gaida, D., Wolf, C., Mairet, F., Bernard, O., Alcaraz-Gonzalez, V., Mendez-Acosta, H., Zitomer, D., Totzke, D., Spanjers, H., Jacobi, F., Guwy, A., Dinsdale, R., Premier, G., Mazhegrane, S., Ruiz-Filippi, G., Seco, A., Ribeiro, T., Pauss, A., Steyer, J., Instrumentation and control of anaerobic digestion processes: a review and some research challenges. Rev. Environ. Sci. Bio/Technol. 14:4 (2015), 615–648.
Nguyen, D., Gadhamshetty, V., Nitayavardhana, S., Khanal, S.K., Automatic process control in anaerobic digestion technology: A critical review. Bioresour. Technol. 193 (2015), 513–522.
Sbarciog, M., Loccufier, M., Vande Wouwer, A., An optimizing start-up strategy for a bio-methanator. Bioprocess Biosyst. Eng. 35:4 (2012), 565–578.
Dewasme, L., Sbarciog, M., Rocha-Cózatl, E., Haugen, F., Vande Wouwer, A., State and unknown input estimation of an anaerobic digestion reactor with experimental validation. Control Eng. Pract. 85 (2019), 280–289.
Sbarciog, M., Vande Wouwer, A., Van Impe, J., Dewasme, L., Extremum seeking control of a three-stage anaerobic digestion model. IFAC-PapersOnLine 53:2 (2020), 16773–16778.
Lara-Cisneros, G., Aguilar-López, R., Dochain, D., Femat, R., On-line estimation of VFA concentration in anaerobic digestion via methane outflow rate measurements. Comput. Chem. Eng. 94 (2016), 250–256.
Dewasme, L., Neural network-based software sensors for the estimation of key components in brewery wastewater anaerobic digester: an experimental validation. Water Sci. Technol. 80:10 (2019), 1975–1985.
Chaabna, A., Semcheddine, S., Robust methane production from anaerobic digestion of maize silage: Feeding control using sliding mode control strategy with anaerobic digestion model n°01. Bioresour. Technol., 416, 2025, 131749.
Mauky, E., Weinrich, S., Nägele, H., Jacobi, H.F., Liebetrau, J., Nelles, M., Model predictive control for demand-driven biogas production in full scale. Chem. Eng. Technol. 39:4 (2016), 652–664.
Kil, H., Li, D., Xi, Y., Li, J., Model predictive control with on-line model identification for anaerobic digestion processes. Biochem. Eng. J. 128 (2017), 63–75.
Yoshida, K., Shimizu, N., Biogas production management systems with model predictive control of anaerobic digestion processes. Bioprocess Biosyst. Eng. 43:12 (2020), 2189–2200.
Fawzy, S., Saeed, M., Eladl, A., El-Saadawi, M., Adaptive control system for biogas power plant using model predictive control. J. Mod. Power Syst. Clean Energy 9:5 (2021), 1193–1204.
Piceno-Díaz, E.R., Ricardez-Sandoval, L.A., Gutierrez-Limon, M.A., Méndez-Acosta, H.O., Puebla, H., Robust nonlinear model predictive control for two-stage anaerobic digesters. Ind. Eng. Chem. Res. 59:52 (2020), 22559–22572.
Kamesh, R., Rani, K.Y., Iterative EKF as a controller in novel MPC formulation: First principles model based IEKF-MPC for SISO systems. Comput. Chem. Eng., 163, 2022, 107833.
Liu, X., Wang, D., Chen, Z., Wei, W., Mannina, G., Ni, B.-J., Advances in pretreatment strategies to enhance the biodegradability of waste activated sludge for the conversion of refractory substances. Bioresour. Technol., 362, 2022, 127804.
Mayne, D., Model predictive control: Recent developments and future promise. Automatica 50:12 (2014), 2967–2986.
Haugen, F., Bakke, R., Lie, B., State estimation and model-based control of a pilot anaerobic digestion reactor. J. Control Sci. Eng., 2014(1), 2014, 572621.
M. Azúa-Poblete, A.L. Cedeño, S. García-Gen, J.C. Agüero, On State Estimation Methods for an Anaerobic Digestion Model for Readily Biodegradable Substrates, in: 2023 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, 2023, pp. 1–6.
Kalman, R.E., A new approach to linear filtering and prediction problems. J. Basic Eng. 82:1 (1960), 35–45.
Borrelli, F., Bemporad, A., Morari, M., Predictive Control for Linear and Hybrid Systems. 2017, Cambridge University Press.
Albin Rajasingham, T., Formulation of the optimization problem. Nonlinear Model Predictive Control of Combustion Engines: From Fundamentals To Applications, 2021, Springer International Publishing, Cham, 139–172.
Hayashi, F., Econometrics. 2011, Princeton University Press.
García-Gen, S., Santos, L.O., Vande Wouwer, A., Application of a nonlinear model predictive controller to the anaerobic digestion of readily biodegradable wastes. IFAC-PapersOnLine 55:7 (2022), 909–914 13th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems DYCOPS 2022.
