EICASLAB offers a professional support and advanced features to address the overall model parameter identification process.

  

The Model Parameter Identification advanced feature is managed in EICASLAB by the professional MPI/CPO Manager tool available in the MPI/CPO EICASLAB module.

  

The Model Parameter Identification allows the identification of the most appropriate values of the model parameters from experimental data acquired on field.

  

Let us point out that the above parameter “true” value does not exist. Indeed, the model is an approximate description of the plant and the parameter “best” value depends on the cost function adopted to evaluate the difference between model and plant. EICAS has developed an original identification method, which estimates the best values of the model parameters using an EICAS proprietary numerical algorithm.

  

The MPI process is performed by a powerful numerical algorithm, originally developed by EICAS, which allows in a very reasonable computing time to get the optimum value of a large number of parameters.

  

Both the functionalities are based on a cost function, defined by the user: the MPI/CPO Manager tool simulates the project in an iterative way, by modifying the value of the parameters to be identified in order to minimise the value of the cost function.