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A new method for the reconstruction of unknown non-monotonic growth functions in the chemostat
Jan Sieber 1, Alain Rapaport ( ) 2, 3, Mathieu Desroches 4, Serafim Rodrigues 5
(14/05/2012)

We propose an adaptive control law that allows one to identify unstable steady states of the open-loop system in the single-species chemostat model without the knowledge of the growth function. We then show how to use a continuation method to reconstruct the whole graph of the growth function. Two variants, in continuous and discrete time, are presented. The case of two species in competition is also examined.
1 :  College of Engineering, Mathematics and Physical Sciences (CEMPS)
University of Exeter, U.K.
2 :  MODEMIC (INRIA Sophia Antipolis)
INRIA – Institut national de la recherche agronomique (INRA)
3 :  Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie (MISTEA)
Institut national de la recherche agronomique (INRA)
4 :  SISYPHE (SIgnals and SYstems in PHysiology and Engineering) (INRIA Rocquencourt)
INRIA
5 :  Centre for Robotics and Neural Systems (CRNS)
Plymouth University, U.K.
Mathématiques/Optimisation et contrôle
chemostat – adaptive control – identification
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