Biomedical Engineering Reference
In-Depth Information
Table 1 (continued)
Measured value
Actuating variable
Controlled process
Remarks
Employed
algorithm
References
pH, temperature
pH, temperature
Penicillin production
Type 2 fuzzy logic simulation
studies
Fuzzy logic
Cosenza and Galluzzo
[
52
]
Temperature
Temperature
Batch reactor
Simulation studies
Hybrid fuzzy
logic
Causa et al. [
48
]
DO
DO
Wastewater treatment
process
Simulation studies
TS fuzzy logic
Belchior et al. [
54
]
O
2
,CO
2
, feeding rate, temperature,
pH
Feeding rate
S. cerevisiae
ANN soft sensor
Fuzzy logic
Karakuzo et al. [
55
]
DO
Feeding rate
S. cerevisiae
On-line adapting neural network
ANN
Gadkar et al. [
56
]
pH, temperature
pH, temperature
Penicillin production
-
NMPC
Ashoori et al. [
57
]
Substrate
Feeding rate
E. coli
Simulation studies
NMPC
Santos et al. [
59
]
Volume base feed, dry biomass
Feeding rate
Antibiotic production
simulation
NMPC EKF online trajectory
planning (OT)
NMPC
Kawohl et al. [
10
]
Feeding rate, cell recycle rate, flash
recycle rate
Feeding rate
Fuel-ethanol production
ANN model, simulation study
NMPC
Meleiro et al. [
64
]
DO, temperature
Temperature,
feeding rate
E. coli
-
Probing
feeding
Velut et al. [
65
]
DO, temperature
Temperature,
feeding rate
E. coli
-
Probing
feeding
Velut et al. [
66
]
DO, temperature
Temperature,
feeding rate
E. coli
Pilot plant
Probing
feeding
Xue and Fan [
67
]
OUR, CPR
Feeding rate
Microbial growth
Simulation studies
Extremum
seeking
Dochain et al. [
68
]
OUR, CPR
Feeding rate
Microbial growth
Simulation studies
Extremum
seeking
Cougnon et al. [
69
]
OUR, CPR
Feeding rate
S. cerevisiae
Simulation studies
Extremum
seeking
Dewasme et al. [
70
]
Fluorescence
Feeding rate
S. cerevisiae
-
Heuristic
procedures
Hantelmann et al. [
71
]
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