Bakosova, M., Oravec, J., Vasickaninova, A., Meszaros, A. and Artzova, P., (2019). Advanced Control of a Biochemical Reactor for Yeast Fermentation. Chemical Engineering Transactions, 76, pp.769-774.
Dewasme, L., Goffaux., G., Hantson., A.-L., Vande Wouwer., A., (2013). Experimental validation of an Extended Kalman Filter estimating acetate concentration in E. coli cultures. Journal of Process Control, 23(2), 148-157.  
Gomes, J., Chopda, V. and Rathore, A.S., (2018). Monitoring and control of bioreactor: Basic concepts and recent advances. Bioprocessing Technology for Production of Biopharmaceuticals and Bioproducts, pp.201-237.
Holzberg, T.R., Watson, V., Brown, S., Andar, A., Ge, X., Kostov, Y., Tolosa, L., Rao, G., (2018). Sensors for biomanufacturing process development: facilitating the shift from batch to continuous manufacturing. Curr. Opin. Chem. Eng., 22, 115Ð127.
Kumar, M., Prasad, D., Giri, B.S. and Singh, R.S., (2019). Temperature control of fermentation bioreactor for ethanol production using IMC-PID controller. Biotechnology Reports, 22, p.e00319.
Imtiaz U., A. Assadzadeh, S.S. Jamuar, J.N. Sahu, (2013). Bioreactor temperature profile controller using inverse neural network (INN) for production of ethanol. Journal of Process Control, 23(5), 731-742.
Imtiaz, U., Jamuar, S.S., Sahu, J.N. and Ganesan, P.B., (2014). Bioreactor profile control by a nonlinear auto regressive moving average neuro and two degree of freedom PID controllers. Journal of Process Control, 24(11), 1761-1777. 
Jazwinski, A.H. (1988). Applied Optimal Estimation. M.I.T. Press. Cambridge.
Lin Y., Tanaka S., (2006). Ethanol Fermentation from biomass resources: current state and prospects. Appl Microbiol Biotechnol, 69: 627-642. 
Lisci, S., Grosso, M. and Tronci, S., (2020a). A Geometric Observer-Assisted Approach to Tailor State Estimation in a Bioreactor for Ethanol Production. Processes, 8(4), p.480
Lisci, S., Grosso, M. and Tronci, S., (2020b). A Robust Nonlinear Estimator for a Yeast Fermentation Biochemical Reactor. In S. Pierucci, F. Manenti, G.L. Bozzano, D. Manca (Ed.) Computer Aided Chemical Engineering, 47.
Nagy, Z. K. (2007). Model based control of a yeast fermentation bioreactor using optimally designed artificial neural networks.ÊChemical engineering journal,Ê127(1-3), 95-109.
Pachauri, N., Rani, A. and Singh, V., (2017). Bioreactor temperature control using modified fractional order IMC-PID for ethanol production. Chemical Engineering Research and Design, 122, pp.97-112.
Porru, M., and …zkan, L. (2017). Monitoring of batch industrial crystallization with growth, nucleation, and agglomeration. part 2: Structure design for state estimation with secondary measurements. Industrial & engineering chemistry research, 56(34), 9578-9592.
Salas, S. D., Romagnoli, J. A., Tronci, S., and Baratti, R. (2019). A geometric observer design for a semi-batch free-radical polymerization system. Computers and Chemical Engineering, 126, 391-402.
Skogestad, S., (2003). Simple analytic rules for model reduction and PID controller tuning. Journal of process control, 13(4), pp.291-309.
Spigno, G., Tronci, S., (2015). Development of hybrid models for a vapor-phase fungi bioreactor. Math. Probl. Eng., 2015.