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 the 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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Dewasme, L., Coutinho, D., Wouwer, A.V. (2011). Adaptive and Robust Linearizing Control Strategies for Fed-Batch Cultures of Microorganisms Exhibiting Overflow Metabolism. In: Cetto, J.A., Ferrier, JL., Filipe, J. (eds) Informatics in Control, Automation and Robotics. Lecture Notes in Electrical Engineering, vol 89. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19539-6_19
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DOI: https://doi.org/10.1007/978-3-642-19539-6_19
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