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Dynamical modelling, identification and software sensors for SBRs
Authors:
H. Fibrianto a;
D. Mazouni b;
M. Ignatova c;
M. Herveau b;
J. Harmand b;
D. Dochain a
| Affiliations: | a CESAME, Universit Catholique de Louvain B timent Euler, Louvain-la-Neuve, Belgium |
| b LBE-INRA, Narbonne, France | |
| c ICSR, BAS, Sofia, Bulgaria |
DOI:
10.1080/13873950701723176
Publication Frequency:
6 issues per year
Published in:
Mathematical and Computer Modelling of Dynamical Systems,
Volume
14,
Issue
1
February
2008
, pages 17
- 26
Mathematical and Computer Modelling of Dynamical Systems,
Volume
14,
Issue
1
February
2008
, pages 17
- 26
Subjects:
Analysis - Mathematics;
Applied Mechanics;
Dynamical Control Systems;
Dynamical Systems;
Mathematical Modeling;
Mathematics & Statistics for Engineers;
Simulation & Modeling;
Formats available:
HTML
(English)
:
PDF
(English)
Previously published as:
Mathematical Modelling of Systems
(1381-2424)
until 1998
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Abstract
This paper presents the two models, called EM1 and EM2, obtained for the two process configurations considered within the EOLI project. It also gives results of software sensors based on these models to provide on-line estimates of unmeasured process variables, and for which the design has considered in particular uncertainty on the model parameters.
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| Keywords: bioprocess; modelling; parameter identification; state estimation; wastewater treatment |
| view references (7) |
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