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Particle filtering for the chemostat

Abstract : We develop a particle filter approximation of the optimal nonlinear filter in the context of the chemostat. We propose a stochastic model of the chemostat together with an observation model. One of the characteristics of applications in bioprocesses is that the time between two observations is relatively large. We account for this point in the development of the particle filter by refining the prediction step of the particle filter. We present numerical tests on simulated measurements.
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https://hal.inria.fr/hal-00842945
Contributor : Fabien Campillo <>
Submitted on : Tuesday, July 9, 2013 - 5:42:24 PM
Last modification on : Wednesday, February 10, 2021 - 3:35:20 AM

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Boumédiène Benyahia, Fabien Campillo, Cherki Brahim, Jérôme Harmand. Particle filtering for the chemostat. 20th Mediterranean Conference on Control and Automation (MED 2012), Barcelona, Spain, July 3-6, IEEE Control Systems Society. FRA., Jul 2012, Barcelona, Spain. pp.364-371, ⟨10.1109/MED.2012.6265665⟩. ⟨hal-00842945⟩

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