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Mathematical Modeling and Control of Bioprocesses
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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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Keywords
- anaerobic digestion
- B. thuringiensis kurstaki
- Biodegradation
- biogas
- Biomass
- biopesticides
- bioplastic
- biorefinery design
- biotechnological cultivation process
- Biotechnology
- Chemical engineering
- chemostat
- composting
- continuous bioreactor
- continuous process
- copolymerization
- dissolved oxygen concentration
- Droop model
- dynamic flux balance model
- dynamic model
- elementary flux modes
- equilibrium points
- flux balance analysis
- flux variability analysis
- FPGA
- gain-scheduling
- global stabilizability
- golden section search
- hydrogen production
- Industrial Chemistry
- Industrial chemistry & manufacturing technologies
- kinetic modeling
- kinetic parameters
- Maintenance
- Mathematical model
- mathematical modeling
- MEC
- Metabolic Flux Analysis
- metabolic network
- Microalgae
- modelling
- multiparametric programming
- n/a
- nonlinear control
- Numerical Simulation
- observability
- off-gas analytic
- online optimization
- operating diagram
- Optimal Control
- optimization
- oxygen uptake rate (OUR)
- perfusion process
- phenol and p-cresol mixture
- photobioreactor
- PID (PI) control
- polyhydroxyalkanoate
- Pontryagin’s principle
- process analytical technologies (PAT)
- process integration
- productivity
- real-time monitoring
- Sampling
- Scheduling
- set membership estimation
- simulation
- single-use bioreactor (SUB)
- singular control
- SKIP model
- soft sensor
- Stability
- stability analysis
- super-twisting controller
- Technology, engineering, agriculture
- Technology: general issues
- variable structure system
- Vero cells
- viable cell biomass
Links
DOI: 10.3390/books978-3-0365-7141-6Editions