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Mathematical Modeling and Control of Bioprocesses

Mathematical modeling is at the heart of most current developments in biological system analysis and bioprocess optimization and control. At the industrial scale, this evolution is reflected in process analytical technologies (PAT), digital twins, and Industry 4.0. This book focuses on various aspec...

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Salvato in:
Natura: Online
Lingua:inglese
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute 2023
Soggetti:
mathematical model
continuous bioreactor
biodegradation
phenol and p-cresol mixture
SKIP model
equilibrium points
stability analysis
global stabilizability
numerical simulation
MEC
hydrogen production
online optimization
golden section search
super-twisting controller
FPGA
bioplastic
copolymerization
polyhydroxyalkanoate
kinetic modeling
PID (PI) control
gain-scheduling
biotechnological cultivation process
dissolved oxygen concentration
flux variability analysis
flux balance analysis
sampling
metabolic network
elementary flux modes
set membership estimation
dynamic flux balance model
multiparametric programming
observability
variable structure system
process analytical technologies (PAT)
off-gas analytic
real-time monitoring
viable cell biomass
perfusion process
continuous process
single-use bioreactor (SUB)
oxygen uptake rate (OUR)
soft sensor
metabolic flux analysis
VERO cells
biotechnology
B. thuringiensis kurstaki
biopesticides
kinetic parameters
dynamic model
composting
optimization
mathematical modeling
anaerobic digestion
biogas
chemostat
maintenance
operating diagram
productivity
stability
optimal control
modelling
microalgae
nonlinear control
Pontryagin’s principle
singular control
Droop model
photobioreactor
biomass
biorefinery design
process integration
scheduling
simulation
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TD Industrial chemistry and manufacturing technologies::TDC Industrial chemistry and chemical engineering
Accesso online:ONIX_20230511_9783036571409_133
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Riassunto:Mathematical modeling is at the heart of most current developments in biological system analysis and bioprocess optimization and control. At the industrial scale, this evolution is reflected in process analytical technologies (PAT), digital twins, and Industry 4.0. This book focuses on various aspects of mathematical modeling at the microscopic and macroscopic scales, respectively, and demonstrates the potential of these methodologies to gain insight into the cell metabolism, to support the design of software sensors to reconstruct unmeasurable variables, or to establish model-based optimization of the operating conditions and/or feedback control of the bioprocesses. The range of applications is vast, including biopharmaceuticals, bioenergy, and the environment.

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