Create Steady-State Problems

Given a SystemModel, you can use the PredictionTaskSteadyStateGenerator in order to create a table containing the steady-states and the parameters of a problem.

We provide a simple example here by using the problem of salt and brine tanks.

First, import the prediction task:

>>> from simba_ml.example_problems import salt_and_brine_tanks

And the steady-state generator:

>>> from simba_ml.simulation import generators

Then you can create the generator and generate a problem table.

>>> generator = generators.SteadyStateGenerator(salt_and_brine_tanks.sm)
>>> generator.generate_signals() 
                   x1          x2  timestamps     arg_r  arg_V  x1_start_value  x2_start_value
    99999  749.000000  749.000000      100000  0.230684    100             999             499
    99999  748.998790  749.001210      100000  0.230684    100             999             499
    99999  749.000000  749.000000      100000  0.230684    100             999             499
    99999  748.999811  749.000189      100000  0.230684    100             999             499
    99999  749.000000  749.000000      100000  0.230684    100             999             499
    ...           ...         ...         ...       ...    ...             ...             ...
    99999  749.000000  749.000000      100000  0.230684    100             999             499
    99999  749.000000  749.000000      100000  0.230684    100             999             499
    99999  749.000000  749.000000      100000  0.230684    100             999             499
    99999  748.999771  749.000229      100000  0.230684    100             999             499
    99999  749.000000  749.000000      100000  0.230684    100             999             499

Upcoming features:

• Deal with problems, that do not have a steady-state