Smart and fast procedures for Model Parameter Identification
EicasLab offers a professional support and advanced features to address the overall model parameter identification process.
The Model Parameter Identification allows the identification of the most appropriate values of the model parameters from experimental data acquired on field.
Model Parameter Identification can be performed in:
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.
The functionality is based on a cost function defined by the user. The MPI/CPO Manager tool executes the system model developed by the user in an iterative way and modifies the value of the parameters to be identified in order to minimise the value of the cost function.