On-line state estimation of bioprocesses with full horizon observers

Mathematics and Computers in Simulation

Volumn 56, Issue 4-5, 2001, Pages 425-441

  Bogaerts, Ph ^a   Hanus, R ^a  

^a UNIVERSITÉ LIBRE DE BRUXELLES   (Belgium)

Author keywords

Bioprocesses; Biotechnology; Maximum likelihood estimators; Nonlinear systems; State estimation; State observers

Indexed keywords

BIOTECHNOLOGY; KALMAN FILTERING; MAXIMUM LIKELIHOOD ESTIMATION; NONLINEAR CONTROL SYSTEMS; ONLINE SYSTEMS; STATE ESTIMATION;

SOFTWARE SENSORS;

BIOSENSORS;

EID: 0034911322     PISSN: 03784754     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0378-4754(01)00312-3     Document Type: Article

References (18)

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4. Robustness of nonlinear observers - Application to biological models
5. A hybrid asymptotic - Kalman observer for bioprocesses
6. Comparison of two approaches to on-line parameter and state estimation of nonlinear systems
7. State estimation for semi-batch polymerization reactors
8. Observation and nonlinear predictive control of evaporators for a cane sugar production plant
9. Nonlinear predictive control and moving horizon estimation - An introduction overview
10. A general mathematical modeling technique for bioprocesses in engineering applications
11. Macroscopic modeling of bioprocesses with a view to engineering applications
12. Nonlinear and linearized full horizon state observers - Application to a bioprocess
13. New results in linear filtering and prediction
14. A simple observer for nonlinear systems - Application to bioreactors