Control in bioprocessing : modeling, estimation and the use of soft sensors / Pablo Antonio López Pérez, Escuela Superior de Apan, Universidad Autónoma del Estado de Hidalgo, México, Ricardo Aguilar Lopez, Department of Biotechnology and Bioengineering. Centro de Investigación y de Estudios Avanzados (Cinvestav)/Center of Reaserch and Advanced Studies, Alejandro Ricardo Femat Flores, División de Matemáticas Aplciadas, IPICYT.
Material type:
TextPublisher: Hoboken, NJ : John Wiley & Sons, Inc., 2020Copyright date: ©2020Description: 1 online resource : illustrationsContent type: - text
- computer
- online resource
- 9781119296324
- 1119296323
- 9781119296089
- 1119296080
- 9781119296317
- 1119296315
- 660.6Â 23
- TP248.3Â .L67 2020
Includes bibliographical references and index.
"This chapter aims to develop in some detail the bases and concepts of bioprocesses related to the control theory introduced in basic principles of mathematical modeling in bioprocesses. From this viewpoint, the systems approach to bioengineering and bioprocessing, with its current focus on the development of mathematical models and their analysis, is a logical sequel that the control theory will play a relevant role in understanding the mechanisms of cellular and metabolic processes. It concerns specifically applications in modeling, estimation, and control of bioprocesses. Consequently, there are many exciting opportunities for control experts who want to shift their interests to bioprocesses"-- Provided by publisher.
Overview of the Control and Monitoring of Bioprocesses and Mathematical Preliminaries. Introduction -- Mathematical Preliminaries -- Observability and Control Concepts. State Estimation and Observers -- Control of Bioprocess -- Software Sensors and Observer-Based Control Schemes for Bioprocess. Dynamical Behavior of a 3-Dimensional Continuous Bioreactor -- Observability Analysis Applied to 2D and 3D Bioreactors with Inhibitory and Non-inhibitory Kinetics Models -- Production System Myco-Diesel for Implementation of "Quality" of the Observability -- Regulation of a Continuously Stirred Bioreactor via Modeling Error Compensation -- Development of Virtual Sensor Based on the Just-In-Time Model for Monitoring of Biological Control Systems -- Virtual Sensor Design for State Estimation in a Photocatalytic Bioreactor for Hydrogen Production.
Description based on online resource; title from digital title page (viewed on May 27, 2020).
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