STATE ESTIMATION IN ALCOHOLIC CONTINUOUS FERMENTATION OF ZYMOMONAS MOBILIS USING RECURSIVE BAYESIAN FILTERING: SIMULATION APPROACH

OLGA QUINTERO MONTOYA; AMICARELLI, A; FERNANDO DI SCIASCIO; GUSTAVO SCAGLIA

Innsbruck, Austria

Congreso; The 27th IASTED International Conference on Modelling, Identification, and Control; 2008

The 27th IASTED International Conference on Modelling, Identification, and Control

is presented. To reach this aim, the Non Linear Filtering based on the recursive application of Bayes rule and Monte Carlo techniques is used. To the best of the authors not many applications in the biotechnological area with this tool have been reported. Generally, bio processes have strong non lineal and non Gaussian characteristics and this tool becomes attractive. Specifically, the recursive Bayesian Filters SIR (Sampling Importance Resampling) including different kinds of resampling are used. The behaviour and performance of the estimator are shown into the process of continuous alcoholic fermentation of Zymomonas mobilis.