Optimal parametric sensitivity control of a fed-batch reactor

Automatica

Volumn 40, Issue 8, 2004, Pages 1459-1464

  Stigter, J D ^a   Keesman, K J ^a  

^a WAGENINGEN UNIVERSITY   (Netherlands)

Author keywords

Identification; Non linear systems; Optimal input design

Indexed keywords

BIOMASS; BIOREACTORS; CHEMICAL REACTORS; COMPUTER SIMULATION; IDENTIFICATION (CONTROL SYSTEMS); MATHEMATICAL MODELS; OPTIMAL CONTROL SYSTEMS; PARAMETER ESTIMATION; SENSITIVITY ANALYSIS;

FED BATCH REACTORS; IDENTIFICATION; OPTIMAL CONTROL LAWS; OPTIMAL INPUT DESIGN;

NONLINEAR CONTROL SYSTEMS;

EID: 2942579441     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.automatica.2004.03.007     Document Type: Article

References (15)

1. Bryson A.E. Dynamic optimization. 1999;Addison Wesley, Reading, MA.
2. Dochain D., Vanrolleghem P.A., Daele M.V. Structural identifiability of biokinetic models of activated sludge respiration. Water Research. 29(11):1995;2571-2578.
3. Goodwin G.C., Payne R. Dynamic system identification: Experiment design and data analysis. 1977;Prentice-Hall, Englewood Cliffs, NJ.
4. Holmberg A., Ranta J. Procedures for parameter and state estimation of microbial growth process models. Automatica. 18(2):1982;181-193.
5. Kalaba R.E., Spingarn K. Optimal inputs and sensitivities for parameter estimation. Journal of Optimization Theory and Applications. 11:1973;56-67.
6. Keesman K.J., Stigter J.D. Optimal parametric sensitivity control for the estimation of kinetic parameters in bioreactors. Mathematical Biosciences. 179:2002;95-111.
7. Keesman, K. J., & Stigter, J. D. (2003). Optimal input design for low-dimensional systems: A haldane kinetics example. In Proceedings of the European control conference 2003, Cambridge, UK, paper 268.
8. Krolikowski, A., & Eykhoff, P. (1985). Input signal design for system identification: A comparative analysis. In IFAC symposium on identification and system parameter estimation, York, UK (p. 915-920).
9. Mehra R. Optimal input signals for parameter estimation in dynamical systems. Survey and new results IEEE Transactions on Automatic Control. AC 19(6):1974;753-768.
10. Stigter, J. D., & Keesman, K. J. (2001). Optimal parametric sensitivity control of a fed batch reactor. In Proceedings European control conference 2001, Porto, Portugal (p. 2841-2844).
11. Stigter, J. D., Vries, D., & Keesman, K. J. (2003). On adaptive optimal input design. In Proceedings of the European control conference 2003, Cambridge, UK. Available on CDROM.
12. Vanrolleghem P.A., Daele M.V. Optimal experimental design for structure characterization of biodegradation models. On-line implementation in a respirographic biosensor Water Science and Technology. 30(4):1994;243-253.
13. Vanrolleghem P.A., Daele M.V., Dochain D. Practical identifiability of a biokinetic model of activated sludge respiration. Water Research. 29(11):1995;2561-2570.
14. Versyck, K. J. (2000). Dynamic input design for optimal estimation of kinetic parameters in bioprocess models. Ph.D. thesis, Katholieke Universiteit Leuven.
15. Zarrop M. Optimal experiment design for dynamic system identification. 1979;Springer, Heidelberg.