Selection of model parameters for off-line parameter estimation

@article{Li2004SelectionOM,
  title={Selection of model parameters for off-line parameter estimation},
  author={Rujun Li and Michael A. Henson and Michael J. Kurtz},
  journal={IEEE Transactions on Control Systems Technology},
  year={2004},
  volume={12},
  pages={402-412}
}
Mechanistic dynamic models often contain unknown parameters whose values are difficult to determine even with highly specialized laboratory experiments. A practical approach is to estimate such parameters from available process data. Typically only a subset of the parameters can be estimated due to restrictions imposed by the model structure, lack of measurements, and limited data. We present a simple parameter selection method which accounts for the first two factors independent of the data… CONTINUE READING
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