TY - JOUR

T1 - Optimal Parametric Sensitivity Control for the Estimation of Kinetic parameters in Bioreactors

AU - Keesman, K.J.

AU - Stigter, J.D.

PY - 2002

Y1 - 2002

N2 - In this paper the well-known problem of optimal input design is considered. In particular, the focus is on input design for the estimation of kinetic parameters in bioreactors. The problem is formulated as follows: given the model structure (f, g), which is assumed to be affine in the input, and the specific parameter of interest θk find a feedback law that maximizes the sensitivity of the model output to the parameter under different flow conditions in the bioreactor and, possibly, minimize the input or state costs. Analytical solutions to these problems are presented. As an example a bioreactor with a biomass that grows according to the well-known Monod kinetics is considered

AB - In this paper the well-known problem of optimal input design is considered. In particular, the focus is on input design for the estimation of kinetic parameters in bioreactors. The problem is formulated as follows: given the model structure (f, g), which is assumed to be affine in the input, and the specific parameter of interest θk find a feedback law that maximizes the sensitivity of the model output to the parameter under different flow conditions in the bioreactor and, possibly, minimize the input or state costs. Analytical solutions to these problems are presented. As an example a bioreactor with a biomass that grows according to the well-known Monod kinetics is considered

U2 - 10.1016/S0025-5564(02)00097-4

DO - 10.1016/S0025-5564(02)00097-4

M3 - Article

VL - 179

SP - 95

EP - 111

JO - Mathematical Biosciences

JF - Mathematical Biosciences

SN - 0025-5564

IS - 1

ER -