LINEARIZING CONTROL OF YEAST AND BACTERIA FED-BATCH CULTURES - A Comparison of Adaptive and Robust Strategies
Laurent Dewasme, Alain Vande Wouwer, Daniel Coutinho
2010
Abstract
Linearizing control is a popular approach to control bioprocesses, which has received considerable attention is the past several years. This control approach is however quite sensitive to modeling uncertainties, thus requiring some on-line parametric adaptation so as to ensure performance. In this study, this usual adaptive strategy is compared in terms of implementation and performance to a robust strategy, where the controller has a fixed parametrization which is determined using a LMI framework so as to ensure robust stability and performance. Fed-batch cultures of yeast and bacteria are considered as application examples.
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Paper Citation
in Harvard Style
Dewasme L., Vande Wouwer A. and Coutinho D. (2010). LINEARIZING CONTROL OF YEAST AND BACTERIA FED-BATCH CULTURES - A Comparison of Adaptive and Robust Strategies . In Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 978-989-8425-02-7, pages 5-13. DOI: 10.5220/0002933300050013
in Bibtex Style
@conference{icinco10,
author={Laurent Dewasme and Alain Vande Wouwer and Daniel Coutinho},
title={LINEARIZING CONTROL OF YEAST AND BACTERIA FED-BATCH CULTURES - A Comparison of Adaptive and Robust Strategies},
booktitle={Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2010},
pages={5-13},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002933300050013},
isbn={978-989-8425-02-7},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - LINEARIZING CONTROL OF YEAST AND BACTERIA FED-BATCH CULTURES - A Comparison of Adaptive and Robust Strategies
SN - 978-989-8425-02-7
AU - Dewasme L.
AU - Vande Wouwer A.
AU - Coutinho D.
PY - 2010
SP - 5
EP - 13
DO - 10.5220/0002933300050013