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48. Zacher S, Reuter M (2017) Regelungstechnik für Ingenieure. Springer Fachmedien Wiesbaden,
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30. SimGenics (2020) SimuPACT. https://www.simgenics.com/page/simupact. Accessed 18 Aug
2020
31. Yokogawa (2020) Operator training simulator (OTS) which supports to acquire plant operation
skills by using it with a dynamic virtual plant model. https://www.yokogawa.com/solutions/
solutions/energy-management/operator-training-simulator/. Accessed 18 Aug 2020
32. Hitzmann B, Scheper T (2018) Bioprozessanalytik und -steuerung. In: Chmiel H, Takors R,
Weuster-Botz D (eds) Bioprozesstechnik. Springer, Berlin, pp 263–294
33. Hass VC, Pörtner R (2011) Praxis der Bioprozesstechnik: Mit virtuellem Praktikum, 2. Aufl.
Spektrum Akad. Verl., Heidelberg
34. Baeza JA (2016) Principles of bioprocess control. In: Larroche C, Pandey A, Du G et al (eds)
Current developments in biotechnology and bioengineering: bioprocesses, bioreactors and
controls. Elsevier Science, Saint Louis, pp 527–561
35. Pörtner R, Platas Barradas O, Frahm B et al (2016) Advanced process and control strategies for
bioreactors. In: Larroche C, Pandey A, Du G et al (eds) Current developments in biotechnology
and bioengineering: bioprocesses, bioreactors and controls. Elsevier Science, Saint Louis, pp
463–493
36. Fenila F, Shastri Y (2016) Optimal control of enzymatic hydrolysis of lignocellulosic biomass.
Resour Effici Technol 2:S96–S104. https://doi.org/10.1016/j.reffit.2016.11.006
37. Moradi H, Saffar-Avval M, Bakhtiari-Nejad F (2011) Nonlinear multivariable control and
performance analysis of an air-handling unit. Energ Buildings 43:805–813. https://doi.org/10.
1016/j.enbuild.2010.11.022
38. Alford JS (2006) Bioprocess control: advances and challenges. Comput Chem Eng
30:1464–1475. https://doi.org/10.1016/j.compchemeng.2006.05.039
39. Morales-Rodríguez R, Capron M, Hussom JK et al. (2010) Controlled fed-batch operation for
improving cellulose hydrolysis in 2G bioethanol production. In: 20th European symposium on
computer aided process engineering – ESCAPE20
40. Nyttle VG, Chidambaram M (1993) Fuzzy logic control of a fed-batch fermentor. Bioprocess
Eng 9:115–118. https://doi.org/10.1007/BF00369040
41. Álvarez L, García J, Urrego D (2006) Control of a fedbatch bioprocess using nonlinear model
predictive control. IFAC Proc 39:347–352. https://doi.org/10.3182/20060402-4-BR-2902.
00347
42. Chang L, Liu X, Henson MA (2016) Nonlinear model predictive control of fed-batch fermentations using dynamic flux balance models. J Process Control 42:137–149. https://doi.org/10.
1016/j.jprocont.2016.04.012
43. Craven S, Whelan J, Glennon B (2014) Glucose concentration control of a fed-batch mammalian cell bioprocess using a nonlinear model predictive controller. J Process Control
24:344–357. https://doi.org/10.1016/j.jprocont.2014.02.007
44. Li M (2015) Adaptive predictive control by open-loop-feedback-optimal controller for cultivation processes. Dissertation, Jacobs University
45. Frahm B, Lane P, Märkl H et al (2003) Improvement of a mammalian cell culture process by
adaptive, model-based dialysis fed-batch cultivation and suppression of apoptosis. Bioprocess
Biosyst Eng 26:1–10. https://doi.org/10.1007/s00449-003-0335-z
46. Frahm B, Hass VC, Lane P et al (2003) Fed-Batch-Kultivierung tierischer Zellen - Eine
Herausforderung zur adaptiven, modellbasierten Steuerung. Chemi Ingen Tech 75:457–460.
https://doi.org/10.1002/cite.200390093
47. Frahm B, Lane P, Atzert H et al (2002) Adaptive, model-based control by the open-loopfeedback-optimal (OLFO) controller for the effective fed-batch cultivation of hybridoma cells.
Biotechnol Prog 18:1095–1103. https://doi.org/10.1021/bp020035y
48. Zacher S, Reuter M (2017) Regelungstechnik für Ingenieure. Springer Fachmedien Wiesbaden,
Wiesbaden
49. Grüne L, Pannek J (2017) Nonlinear model predictive control. Springer, Cham
92
C. Appl et al.