Model-based design of experiments for microalgae growth models identification

The physical knowledge on a system can be summarized in a compact form by using a mathematical model which can be used for both simulation and optimization purposes. In order to validate one or more candidate models, experiments must be carried out in a controlled environment (e.g., the laboratory). The reliability of a mathematical model is firmly related to the identification of a suitable model structure as well as to the precise estimation of the model parameters.

PAR-Lab has a wide expertise at developing and applying innovative model-based techniques for the optimal design of experiments, which have proved to be extremely effective at discriminating among alternative modelling hypotheses and at identifying microalgae models, while minimizing experimentation time and costs.