Hybrid full horizon-asymptotic observer for bioprocesses

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 35, Issue 1, 2002, Pages 419-424

  Hulhoven, X ^a   Bogaerts, Ph ^a  

^a UNIVERSITÉ LIBRE DE BRUXELLES   (Belgium)

Author keywords

Biotechnology; Fermentation processes; Nonlinear systems; State observers

Indexed keywords

AUTOMATION; BIOTECHNOLOGY; KINETIC PARAMETERS; KINETIC THEORY; NONLINEAR SYSTEMS; PROCESS CONTROL; STOCHASTIC SYSTEMS;

ASYMPTOTIC OBSERVER; BACTERIAL CULTURES; EXPERIMENTAL CONDITIONS; FERMENTATION PROCESS; IDENTIFICATION COSTS; INITIAL CONDITIONS; NON-LINEAR OBSERVER; STATE OBSERVER;

COST FUNCTIONS;

EID: 84945528905     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20020721-6-es-1901.01379     Document Type: Conference Paper

References (9)

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3. Bogaerts, Ph. and R. Hanus (2000). Nonlinear and linearized full horizon state observers - application to a bioprocess. IFAC International Symposium on Advanced Control of Chemical Processes (ADCHEM 2000) Pise (Italie) 1, pp. 371-376.
4. Bogaerts, Ph. and R. Hanus (2001). On-line estimation of bioprocesses with full horizon observers. Mathemmatics and Computers in Simulation 56, pp. 425-441.
5. Dubach, A. C. and H. Märkl (1992). Application of an extended Kalman filter method for monitoring high density cultivation of escherichia coli. Journal of Fermentation and Bioegineering 73, 396-402.
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8. Lemesle, V. and J.-L. Gouzé (2001). A bounded error observer for a class of bioreactor models. International Conference on Computer Applications in Biotechnology (CAB'8) Québec (Canada) pp. 24-27.
9. Pelletier, F. (1995). "Mise au point d'observateurs d'états pour le suivi de cultures de cellules animales", PhD thesis. INPL.