Title :
Particle filtering for the chemostat
Author :
Benyahia, Boumédiène ; Campillo, Fabien ; Cherki, Brahim ; Harmand, Jérome
Author_Institution :
LAT, Univ. of Tlemcen, Tlemcen, Algeria
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.
Keywords :
approximation theory; bioreactors; nonlinear filters; particle filtering (numerical methods); stochastic processes; bioprocesses; chemostat; observation model; optimal nonlinear filter; particle filter approximation; stochastic model; Approximation methods; Biological system modeling; Equations; Mathematical model; Noise; Numerical models; Stochastic processes;
Conference_Titel :
Control & Automation (MED), 2012 20th Mediterranean Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4673-2530-1
Electronic_ISBN :
978-1-4673-2529-5
DOI :
10.1109/MED.2012.6265665
