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Create a System Model from Data—Wolfram Documentation

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CreateDataSystemModel[fun,tmin,tmax]

creates a model with samples from the function fun between tmin and tmax.

• CreateDataSystemModel will create an interpolated curve that is typically used as flexible input to other models.
• CreateDataSystemModel returns a SystemModel[…] object that can be connected to other models.
• CreateDataSystemModel["NewModel",…] gives the created model the name "NewModel".
• CreateDataSystemModel["PackageA.NewModel",…] inserts "NewModel" into "PackageA".
• The following options can be given:
• Default values of InterpolationOrder according to input:
• For a list of values v_i, SamplingPeriod defaults to 1.
• Sample points in TimeSeries and InterpolatingFunction are preserved.
• Possible "dspec" values include:
• "Time" time column and value columns "1D" argument column and value columns "2D" arguments row and column and value matrix
• The corresponding data arrays have the layouts given here:
• The default "dspec" is "Time".

Create a model from a list of time-value pairs:

Simulate and plot the output of the data model:

Create a model from a TimeSeries:

Simulate and plot the output:

Create a data model of a sampled function between 0 and 10 seconds:

Simulate and plot the output:

Create a data model from a list of values:

The sample interval is assumed to be 1 second:

Specify a custom sampling period:

Simulate for 1 second and plot:

Use a custom InterpolationOrder:

Simulate and plot the output:

SparseArray is interpreted as the corresponding Normal array:

The sample interval is assumed to be 1 second:

Create a model from a list of time-value pairs:

Simulate and plot the output:

Use a custom InterpolationOrder:

Simulate and plot the output:

Create data with multiple values for each time point:

Simulate and plot the two output curves:

Create a data model of a function sampled for 10 seconds:

The sample points are automatically determined:

Choose the InterpolationOrder:

Simulate and plot 2 seconds of the data output to show the interpolation order:

Set the sampling period when creating the model:

Simulate and plot the output:

Create a data model that takes time and interpolates it over two value columns:

Show the first rows of the data:

Create a model that uses time to interpolate over the data:

Simulate the model:

Plot the interpolated variables:

Create a data model that takes an input and interpolates it over two value columns:

Show the first rows of the data:

Create a model with the data:

Simulate with an input that samples the data at twice the speed of time:

Plot the interpolated variables:

Create a data model that takes two scalar inputs and runs them through a bivariate interpolation:

Split coordinates and values to show the data in a 3D plot:

Show the data points:

Create a model with the data:

Simulate with inputs:

Plot the interpolation results together with the original data:

An InterpolationOrder of 0 gives constant segments between samples:

Simulate and plot the output:

An InterpolationOrder of 1 gives straight lines between samples:

Simulate and plot the output:

An InterpolationOrder of 3 gives a smooth line with a continuous derivative:

Simulate and plot the output:

For a list of data, SamplingPeriod determines the period between data points:

The output has 2-second-long linear sections between samples:

For a function, SamplingPeriod determines how often a function is sampled:

Simulate with sampling periods of 0.5 and 2 seconds:

Compare the output for each simulation:

For a TimeSeries, SamplingPeriod resamples uniformly:

Downsample the time series when creating the data model:

Simulate and plot the output:

Data is stored in the model by default:

Use GeneratedAssetLocation to export a data file to a specified location referenced by the model:

Create a data model with noisy output for 5 seconds:

Connect it to a lowpass filter:

Simulate the filtering model:

Show the signal before and after filtering:

Insert created model in a package:

The package contains both created models:

Export as a file for use in a "CombiTimeTable" Modelica component:

Larger datasets in the model may lead to slower simulations:

Simulating with data exported using MCTT Export is faster:

Use GeneratedAssetLocation to export a data file to a specified location referenced by the model:

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