Estimability analysis and parameter identification for a batch emulsion copolymerization reactor in the presence of a chain transfer agent

In this paper we have developed an estimability analysis method to identify the subset of potentially estimable parameters from the proposed experimental data. The emulsion copolymerization model involves 59 unknown parameters. The complete set of parameters cannot be estimated from the experimental measurements available. Thanks to the method developed, 21 parameters were selected and identified. The non estimable parameters were set to nominal values taken from literature. The mathematical model was validated under both batch and fed batch conditions.