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Input-State-Output Representations of Concatenated 2D Convolutional Codes Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Sensorless Nonlinear Control of Fed-Batch \(Escherichia\,coli\) Cultivation Bioprocess Using the State-Dependent Approach

Authors : Abdelhamid Iratni, Rui Araújo, Saeid Rastegar, Mohammed Mostefai

Published in: CONTROLO 2016

Publisher: Springer International Publishing

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Abstract

The cultivation of Escherichia coli bacteria is widely used by geneticists and biopharmaceuticals to produce medicines and vaccines. In such industries, Bioprocesses are known by their harsh environment and very expensive physical sensors. This paper deals with nonlinear estimation and control of fed-batch Escherichia coli bioprocess. Enhancing the process performance and maximizing its efficiency by optimizing the control of Escherichia coli cultures depends on the availability of appropriate online sensors for the main culture components. In this study, an innovative method for nonlinear estimation and control of bioprocesses is designed and assessed. The new algorithm for control and estimation of Escherichia coli bioprocess states, based on the State-Dependent Riccati Equation technique, is validated by numerical simulation. The results obtained clearly demonstrate the effectiveness of the proposed technique for Biosystems in measuring, monitoring, and control of their natural nonlinear dynamics.

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Metadata
Title
Sensorless Nonlinear Control of Fed-Batch Cultivation Bioprocess Using the State-Dependent Approach
Authors
Abdelhamid Iratni
Rui Araújo
Saeid Rastegar
Mohammed Mostefai
Copyright Year
2017
Book
CONTROLO 2016

Print ISBN: 978-3-319-43670-8

Electronic ISBN: 978-3-319-43671-5

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-43671-5_26