Imperial College London

DrBenoitChachuat

Faculty of EngineeringDepartment of Chemical Engineering

Reader in Process Systems Engineering
 
 
 
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Contact

 

b.chachuat Website

 
 
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Location

 

609Roderic Hill BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Chachuat:2004,
author = {Chachuat, B and Bernard, O},
pages = {359--364},
title = {Design and practical use of probabilistic observers for mass-balance based bioprocess models},
year = {2004}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - Copyright © IFAC Dynamics and Control of Process Systems, Cambridge, Massachusetts, USA, 2004 In this paper, the design of probabilistic observers for mass-balance based bio-process models is investigated. It is assumed that the probability density function of every uncertain parameter, input and/or initial state is known a priori. Then, the probability density functions of the state variables are obtained, at any time, by considering the image of this initial probability density function by the flow of the dynamical system. In comparison to classical open-loop interval observers, the method provides information on the confidence level of the estimates rather than simple upper and lower bounds. The numerical implementation of the method is closely considered and an application to an industrial anaerobic digester is detailed.
AU - Chachuat,B
AU - Bernard,O
EP - 364
PY - 2004///
SN - 1474-6670
SP - 359
TI - Design and practical use of probabilistic observers for mass-balance based bioprocess models
ER -