Table 2.

Most recently (2016 – today) applied modeling techniques in bioprocess control.

Model category / applied model	(Control) task	Organism/Product	Source / Year
Adaptive control / generic model control & linear Kalman filter	Maximize biomass production & maintain substrate concentration at optimum by optimal feeding strategy	E. coli / biomass	[84] /2019
Statistical control / multivariate statistical control model, Raman spectroscopy & correlation optimized wrapping	Early detection of abnormal operation conditions and contaminated batches for antibody production in cell cultures	Chinese hamster ovary (CHO) cell line / IgG antibodies	[86] /2019
Statistical control / adaptive multiway partial least squares model & quadratic cost function	Batch to batch optimization of biomass- respectively penicillin yield by adjusting glucose feeding	S. cerevisiae / penicillin	[87], [88] / 2016–2020
Fuzzy control / fuzzy control system	Dissolved oxygen (DO) levels	E. coli / heterologous protein	[96] / 2018
Neural network control / RNN	Controlling growth rate by methanol feeding strategy	P. pastoris / hepatitis B surface antigen	[104] / 2019
Model predictive control / dynamic flux balance model	Maximizing ethanol concentration by adjusting feed rate & DO levels	S. cerevisiae / ethanol	[117] / 2016