Control in Bioprocessing
Autor Pablo A López Pérez, Ricardo Aguilar López, Ricardo Fematen Limba Engleză Hardback – 15 iun 2020
This book presents the most commonly employed approaches in the control of bioprocesses. It discusses the role that control theory plays in understanding the mechanisms of cellular and metabolic processes, and presents key results in various fields such as dynamic modeling, dynamic properties of bioprocess models, software sensors designed for the online estimation of parameters and state variables, and control and supervision of bioprocesses
Control in Bioengineering and Bioprocessing: Modeling, Estimation and the Use of Sensors is divided into three sections. Part I, Mathematical preliminaries and overview of the control and monitoring of bioprocess, provides a general overview of the control and monitoring of bioprocesses, and introduces the mathematical framework necessary for the analysis and characterization of bioprocess dynamics. Part II, Observability and control concepts, presents the observability concepts which form the basis of design online estimation algorithms (software sensor) for bioprocesses, and reviews controllability of these concepts, including automatic feedback control systems. Part III, Software sensors and observer-based control schemes for bioprocesses, features six application cases including dynamic behavior of 3-dimensional continuous bioreactors; observability analysis applied to 2D and 3D bioreactors with inhibitory and non-inhibitory models; and regulation of a continuously stirred bioreactor via modeling error compensation.
- Applicable across all areas of bioprocess engineering, including food and beverages, biofuels and renewable energy, pharmaceuticals and nutraceuticals, fermentation systems, product separation technologies, wastewater and solid-waste treatment technology, and bioremediation
- Provides a clear explanation of the mass-balance-based mathematical modelling of bioprocesses and the main tools for its dynamic analysis
- Offers industry-based applications on: myco-diesel for implementing "quality" of observability; developing a virtual sensor based on the Just-In-Time Model to monitor biological control systems; and virtual sensor design for state estimation in a photocatalytic bioreactor for hydrogen production
Preț: 749.17 lei
Preț vechi: 1146.17 lei
-35%
Puncte Express: 1124
Carte indisponibilă temporar
Doresc să fiu notificat când acest titlu va fi disponibil:
Se trimite...
Specificații
ISBN-13: 9781119295990
ISBN-10: 1119295998
Pagini: 296
Dimensiuni: 173 x 246 x 23 mm
Greutate: 0.7 kg
Editura: Wiley
Locul publicării:Chichester, United Kingdom
ISBN-10: 1119295998
Pagini: 296
Dimensiuni: 173 x 246 x 23 mm
Greutate: 0.7 kg
Editura: Wiley
Locul publicării:Chichester, United Kingdom
Notă biografică
Pablo Antonio López Pérez, PhD, is Professor at Escuela Superior de Apan, Universidad Autónoma del Estado de Hidalgo, México. His research focuses on Modeling, simulation and nonlinear control of Reactors, Bioreactors and Photobioreactors.
Ricardo Aguilar López, PhD is Professor at the Department of Biotechnology and Bioengineering, Center for Research and Advanced Studies (Cinvestav), México. His research interests include modeling of biosystems and bioprocesses, dynamic analysis in bioreactors and design of nonlinear control schemes applied to biological systems, as well as the development of online bioprocess monitoring schemes.
Ricardo Femat, PhD was the General Director of the Institute for Scientific and Technological Research of San Luis Potosi (IPICYT), and a Professor in the Department of Applied Mathematics in México. His research interests include (i) analysis, characterization and control of systems with complex dynamics, (ii) the regulation of glucose level in diabetics and (iii) the control of processes with reaction and diffusion.
Ricardo Aguilar López, PhD is Professor at the Department of Biotechnology and Bioengineering, Center for Research and Advanced Studies (Cinvestav), México. His research interests include modeling of biosystems and bioprocesses, dynamic analysis in bioreactors and design of nonlinear control schemes applied to biological systems, as well as the development of online bioprocess monitoring schemes.
Ricardo Femat, PhD was the General Director of the Institute for Scientific and Technological Research of San Luis Potosi (IPICYT), and a Professor in the Department of Applied Mathematics in México. His research interests include (i) analysis, characterization and control of systems with complex dynamics, (ii) the regulation of glucose level in diabetics and (iii) the control of processes with reaction and diffusion.
Cuprins
Preface xi
Part I Overview of the Control and Monitoring of Bioprocesses and Mathematical Preliminaries 1
1 Introduction 3
1.1 Overview of the Control and Monitoring of Bioprocesses 3
1.2 Improvements to Bioprocesses Productivity 13
1.3 Bioprocess Control 22
1.4 Process Measurements 32
1.5 Dynamic Bioprocess Models 40
1.6 Process Optimization 51
References 53
2 Mathematical Preliminaries 63
2.1 Systems of Ordinary Differential Equations 63
2.2 Linear Systems 70
2.3 Nonlinear Dynamical Systems and its Analysis 72
2.4 Stability Theory via Lyapunov Approach 84
2.5 Bifurcation Theory 94
2.6 Overview of Non-Smooth Dynamical Systems 99
References 101
Part II Observability and Control Concepts 107
3 State Estimation and Observers 109
3.1 Observability 109
3.2 Observer Designs for Linear Structures 117
3.3 Observer Designs for Nonlinear Structures 121
References 131
4 Control of Bioprocess 135
4.1 The Control Idea 135
4.2 Controllers for Linear Systems 141
4.3 Nonlinear Controllers 145
References 161
Part III Software Sensors and Observer-Based Control Schemes for Bioprocess 169
5 Dynamical Behavior of a 3-Dimensional Continuous Bioreactor 171
5.1 Introduction 171
5.2 Bioreactor Modeling 173
5.3 Main Results 175
5.4 Concluding Remarks 181
References 182
6 Observability Analysis Applied to 2D and 3D Bioreactors with Inhibitory and Non-inhibitory Kinetics Models 185
6.1 Introduction 185
6.2 Materials and Methods 186
6.3 Results and Discussion 188
6.4 Implementation of a Linear Observer to Check the Results of the Observability Analysis 200
6.5 Conclusion 201
References 202
7 Production System Myco-Diesel for Implementation of "Quality" of the Observability 205
7.1 Introduction 205
7.2 Methodology 206
7.3 Main Results 208
7.4 Conclusions 213
References 214
8 Regulation of a Continuously Stirred Bioreactor via Modeling Error Compensation 217
8.1 Introduction 217
8.2 Materials and Methods 219
8.3 Input-Output Identified Model 221
8.4 Control Design 221
8.5 Main Results 225
8.6 Concluding Remarks 228
References 229
9 Development of Virtual Sensor Based on the Just-In-Time Model for Monitoring of Biological Control Systems 233
9.1 Introduction 233
9.2 Materials and Methods 235
9.3 On-line Monitoring (Proposed Nonlinear Observer) 239
9.4 Such Approaches, Known as Proposed Just-in-Time Modeling "Hybrid Systems" 242
9.5 Results 243
9.6 Conclusions 249
References 250
10 Virtual Sensor Design for State Estimation in a Photocatalytic Bioreactor for Hydrogen Production 255
10.1 Introduction 255
10.2 Material and Methods 257
10.3 Mathematical Model Development 258
10.4 Virtual Sensor Design 262
10.5 Results and Discussion 265
10.6 Conclusions 272
References 273
Index 277
Part I Overview of the Control and Monitoring of Bioprocesses and Mathematical Preliminaries 1
1 Introduction 3
1.1 Overview of the Control and Monitoring of Bioprocesses 3
1.2 Improvements to Bioprocesses Productivity 13
1.3 Bioprocess Control 22
1.4 Process Measurements 32
1.5 Dynamic Bioprocess Models 40
1.6 Process Optimization 51
References 53
2 Mathematical Preliminaries 63
2.1 Systems of Ordinary Differential Equations 63
2.2 Linear Systems 70
2.3 Nonlinear Dynamical Systems and its Analysis 72
2.4 Stability Theory via Lyapunov Approach 84
2.5 Bifurcation Theory 94
2.6 Overview of Non-Smooth Dynamical Systems 99
References 101
Part II Observability and Control Concepts 107
3 State Estimation and Observers 109
3.1 Observability 109
3.2 Observer Designs for Linear Structures 117
3.3 Observer Designs for Nonlinear Structures 121
References 131
4 Control of Bioprocess 135
4.1 The Control Idea 135
4.2 Controllers for Linear Systems 141
4.3 Nonlinear Controllers 145
References 161
Part III Software Sensors and Observer-Based Control Schemes for Bioprocess 169
5 Dynamical Behavior of a 3-Dimensional Continuous Bioreactor 171
5.1 Introduction 171
5.2 Bioreactor Modeling 173
5.3 Main Results 175
5.4 Concluding Remarks 181
References 182
6 Observability Analysis Applied to 2D and 3D Bioreactors with Inhibitory and Non-inhibitory Kinetics Models 185
6.1 Introduction 185
6.2 Materials and Methods 186
6.3 Results and Discussion 188
6.4 Implementation of a Linear Observer to Check the Results of the Observability Analysis 200
6.5 Conclusion 201
References 202
7 Production System Myco-Diesel for Implementation of "Quality" of the Observability 205
7.1 Introduction 205
7.2 Methodology 206
7.3 Main Results 208
7.4 Conclusions 213
References 214
8 Regulation of a Continuously Stirred Bioreactor via Modeling Error Compensation 217
8.1 Introduction 217
8.2 Materials and Methods 219
8.3 Input-Output Identified Model 221
8.4 Control Design 221
8.5 Main Results 225
8.6 Concluding Remarks 228
References 229
9 Development of Virtual Sensor Based on the Just-In-Time Model for Monitoring of Biological Control Systems 233
9.1 Introduction 233
9.2 Materials and Methods 235
9.3 On-line Monitoring (Proposed Nonlinear Observer) 239
9.4 Such Approaches, Known as Proposed Just-in-Time Modeling "Hybrid Systems" 242
9.5 Results 243
9.6 Conclusions 249
References 250
10 Virtual Sensor Design for State Estimation in a Photocatalytic Bioreactor for Hydrogen Production 255
10.1 Introduction 255
10.2 Material and Methods 257
10.3 Mathematical Model Development 258
10.4 Virtual Sensor Design 262
10.5 Results and Discussion 265
10.6 Conclusions 272
References 273
Index 277