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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| Médium: | Online |
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| Jazyk: | angličtina |
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MDPI - Multidisciplinary Digital Publishing Institute
2023
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| On-line přístup: | ONIX_20230511_9783036571409_133 |
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| _version_ | 1869531161012731904 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-100116 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1001162024-04-11T15:11:16Z Mathematical Modeling and Control of Bioprocesses Bogaerts, Philippe Vande Wouwer, Alain 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 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. 2023-05-11T17:21:34Z 2023-05-11T17:21:34Z 2023 book ONIX_20230511_9783036571409_133 9783036571409 9783036571416 https://directory.doabooks.org/handle/20.500.12854/100116 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/7209 https://mdpi.com/books/pdfview/book/7209 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-7141-6 10.3390/books978-3-0365-7141-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036571409 9783036571416 302 Basel open access |
| spellingShingle | 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 Mathematical Modeling and Control of Bioprocesses |
| title | Mathematical Modeling and Control of Bioprocesses |
| title_full | Mathematical Modeling and Control of Bioprocesses |
| title_fullStr | Mathematical Modeling and Control of Bioprocesses |
| title_full_unstemmed | Mathematical Modeling and Control of Bioprocesses |
| title_short | Mathematical Modeling and Control of Bioprocesses |
| title_sort | mathematical modeling and control of bioprocesses |
| topic | 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 |
| topic_facet | 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 |
| url | ONIX_20230511_9783036571409_133 |