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Nonlinear Model Based Process Control pp 555–597Cite as

Software Sensors and Adaptive Linearizing Control of Bioreactors

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Part of the book series: NATO ASI Series ((NSSE,volume 353))

Abstract

This paper is a short survey on methods which have been developed and applied in the field of dynamical modelling, analysis, monitoring and control design of bioprocesses over the past fifteen years. A key feature of the paper is to show how to incorporate the well-known knowledge about the dynamics of biochemical processes (basically, the reaction network and the material balances) in monitoring and control algorithms. These are moreover capable of dealing with the process uncertainty (in particular on the reaction kinetics) by introducing, for instance in the control algorithms, an adaptation scheme.

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Author information

Authors and Affiliations

  1. Maître de Recherches FNRS Cesame, Université Catholique de Louvain, Bâtiment Euler, 4-6 avenue G. Lemaître, 1348, Louvain-La-Neuve, Belgium

    D. Dochain

  2. Département de Génie Chimique, Ecole Polytechnique de Montréal Succursale “Centre Ville”, CP 6079, Montréal, H3C 3A7, Canada

    M. Perrier

Authors
  1. D. Dochain
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  2. M. Perrier
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Editor information

Editors and Affiliations

  1. Department of Chemical Engineering, Ankara University, Tandoğan, Ankara, Turkey

    Ridvan Berber

  2. Department of Chemical Engineering, The University of Michigan, Ann Arbor, Michigan, USA

    Costas Kravaris

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© 1998 Springer Science+Business Media Dordrecht

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Dochain, D., Perrier, M. (1998). Software Sensors and Adaptive Linearizing Control of Bioreactors. In: Berber, R., Kravaris, C. (eds) Nonlinear Model Based Process Control. NATO ASI Series, vol 353. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5094-1_19

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  • DOI: https://doi.org/10.1007/978-94-011-5094-1_19

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-6140-7

  • Online ISBN: 978-94-011-5094-1

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