MBPI
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<td style="width:200px;"><strong>Curve reader</strong><p>Blabla</p></td> | <td style="width:200px;"><strong>Curve reader</strong><p>Blabla</p></td> | ||
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<td style="width:200px;"><strong>Parameter wizard</strong><p>Blabla</p></td> | <td style="width:200px;"><strong>Parameter wizard</strong><p>Blabla</p></td> | ||
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<td style="width:200px;"><strong>Data Filler</strong><p>Blabla</p></td> | <td style="width:200px;"><strong>Data Filler</strong><p>Blabla</p></td> | ||
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<td style="width:200px;"><strong>Parameter Optimizer</strong><p>Blabla</p></td> | <td style="width:200px;"><strong>Parameter Optimizer</strong><p>Blabla</p></td> | ||
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Revision as of 14:38, 18 January 2016
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.
MBPI is composed of several tools to help simplify the handling of experimental and simulation data. The tools included in the set are:
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Curve reader Blabla |
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Parameter wizard Blabla |
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Data Filler Blabla |
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Parameter Optimizer Blabla |
Please take a look 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.
Example files
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.
