Model Based Parameter Identification is a toolbox designed to estimate the parameters of a system modeled either in PSpice or Simulink. When several experiments are performed and are modeled the parameters to estimate can be treated as unknowns to be optimized. You can see a simple explanation of what the tool does in the the video below.
MBPI is composed of several tools to help simplify the handling of experimental and simulation data. The tools included in the set are:
Read curves from images into text-files that can be used in MBPI
Estimate initial parameters and auto-generate simulation files for the PRONTO model
Create/modify configuration files for the Parameter Optimizer
Optimize the parameters of a modeled system by loading a configuration file
On the left menu where you can find more information. You can see some screenshots of the program. All the tools provided come with a GUI and you can learn the basics reading the help or more easily with the videos. If you have any doubt feel free to post it in the discussion board or contact us.
Examples are provided in /bin/examples in the .zip file. The example is a RL circuit where the resistor and inductor are estimated. Models are provided for both Simulink and PSpice.