CreateDataSystemModel

✖
`CreateDataSystemModel`

[Experimental]

✖

CreateDataSystemModel[{v₁,v₂,…}]

creates a SystemModel generating a signal of values v_i.

✖

CreateDataSystemModel[{{t₁,v₁},…}]

creates a model for the time-value pairs {t_i,v_i}.

✖

CreateDataSystemModel[obj]

creates a model for the TimeSeries or InterpolatingFunction obj.

✖

CreateDataSystemModel[fun,tmin,tmax]

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

✖

CreateDataSystemModel[data,"dspec"]

creates a model with data specification "dspec".

Details and Options

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:

InterpolationOrder	Automatic	interpolation order
SamplingPeriod	Automatic	time between samples
GeneratedAssetLocation	None	location of data file

Default values of InterpolationOrder according to input:
{v₁,v₂,…},{{t₁,v₁},…} 1

TimeSeries, InterpolatingFunction preserved

fun 3
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".

Examples

open allclose all

Basic Examples (3)Summary of the most common use cases

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

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-veulo0

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-jq04ty

Out[2]=2

Simulate and plot the output of the data model:

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-hsvuhe

Out[3]=3

In[4]:=4

✖

https://wolfram.com/xid/0rke2minlwcx4l5-rzso19

Out[4]=4

Create a model from a TimeSeries:

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-y4bcm8

Out[1]=1

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-dd1wd9

Simulate and plot the output:

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-migmsb

Out[3]=3

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

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-15hmr2

Simulate and plot the output:

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-i2ude2

Out[2]=2

Scope (18)Survey of the scope of standard use cases

Value Lists (4)

Create a data model from a list of values:

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-gybh44

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-esqze4

The sample interval is assumed to be 1 second:

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-ivhj0v

Out[4]=4

Specify a custom sampling period:

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-1u7qle

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-wxj4sq

Simulate for 1 second and plot:

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-j0kjkc

Out[3]=3

Use a custom InterpolationOrder:

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-4y24hg

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-okn6am

Simulate and plot the output:

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-02vcbc

Out[3]=3

SparseArray is interpreted as the corresponding Normal array:

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-q79uhf

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-y6xa30

The sample interval is assumed to be 1 second:

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-3gl768

Out[3]=3

Time-Value Pairs (3)

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

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-k10gql

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-gny0lz

Simulate and plot the output:

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-plfibf

Out[4]=4

Use a custom InterpolationOrder:

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-16s1g8

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-vwgibh

Simulate and plot the output:

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-yr6pvr

Out[3]=3

Create data with multiple values for each time point:

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-l1jcwa

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-ud22im

Simulate and plot the two output curves:

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-p7e5la

Out[3]=3

TimeSeries (3)

Create a data model from a TimeSeries:

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-2c5fgi

Out[1]=1

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-ecxgi9

Simulate and plot the output:

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-t6uonr

Out[4]=4

The InterpolationOrder from the TimeSeries is preserved:

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-x96jzo

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-0bit1l

Out[2]=2

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-hhz5hj

Simulate and plot the output:

In[4]:=4

✖

https://wolfram.com/xid/0rke2minlwcx4l5-qtv1of

Out[4]=4

Override the InterpolationOrder when creating a data model:

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-cl6881

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-pt9ip9

Out[2]=2

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-i1onbl

Simulate and plot the output:

In[4]:=4

✖

https://wolfram.com/xid/0rke2minlwcx4l5-zldclr

Out[4]=4

InterpolatingFunction (2)

Create a model from an InterpolatingFunction:

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-s4cz4p

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-3x2nyu

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-d2lujj

Simulate and plot the output:

In[4]:=4

✖

https://wolfram.com/xid/0rke2minlwcx4l5-18l4u3

Out[5]=5

Resample an InterpolatingFunction before creating the model:

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-kbs0u

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-idaaea

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-wnqoz4

Simulate and plot the output:

In[4]:=4

✖

https://wolfram.com/xid/0rke2minlwcx4l5-pxhkyw

Out[4]=4

Functions (3)

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

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-8zeue6

The sample points are automatically determined:

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-k5535n

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-xbhbtk

Out[3]=3

Choose the InterpolationOrder:

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-7oo55z

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

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-57zhqj

Out[2]=2

Set the sampling period when creating the model:

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-2rf6s5

Simulate and plot the output:

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-vdcaeq

Out[2]=2

Data Specification (3)

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

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-bnn47f

Show the first rows of the data:

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-qxkcya

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

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-enyr7h

Simulate the model:

In[4]:=4

✖

https://wolfram.com/xid/0rke2minlwcx4l5-n9bxbp

Plot the interpolated variables:

In[5]:=5

✖

https://wolfram.com/xid/0rke2minlwcx4l5-345i8f

Out[5]=5

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

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-j9953o

Show the first rows of the data:

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-bghbnp

Create a model with the data:

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-e9d1k7

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

In[4]:=4

✖

https://wolfram.com/xid/0rke2minlwcx4l5-nm5zpv

Plot the interpolated variables:

In[5]:=5

✖

https://wolfram.com/xid/0rke2minlwcx4l5-cmzcap

Out[5]=5

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

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-2xfv4v

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

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-zykpxd

Show the data points:

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-sdppwa

Out[3]=3

Create a model with the data:

In[4]:=4

✖

https://wolfram.com/xid/0rke2minlwcx4l5-xz9gm3

Simulate with inputs:

In[5]:=5

✖

https://wolfram.com/xid/0rke2minlwcx4l5-mw9kx3

Plot the interpolation results together with the original data:

In[6]:=6

✖

https://wolfram.com/xid/0rke2minlwcx4l5-o7iio1

Out[6]=6

Options (7)Common values & functionality for each option

InterpolationOrder (3)

An InterpolationOrder of 0 gives constant segments between samples:

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-mxqfpi

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-bw52ad

Simulate and plot the output:

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-g3zd18

Out[4]=4

An InterpolationOrder of 1 gives straight lines between samples:

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-ol0lrp

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-3xpnx4

Simulate and plot the output:

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-8j78hc

Out[3]=3

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

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-7dvq3p

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-zzha5n

Simulate and plot the output:

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-zehl2z

Out[3]=3

SamplingPeriod (3)

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

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-cdp2ac

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-e2y4ju

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

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-40a21p

In[4]:=4

✖

https://wolfram.com/xid/0rke2minlwcx4l5-kkkur8

Out[4]=4

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

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-pxf8e8

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-egw078

Simulate with sampling periods of 0.5 and 2 seconds:

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-rltqja

Compare the output for each simulation:

In[4]:=4

✖

https://wolfram.com/xid/0rke2minlwcx4l5-lqwr2v

Out[4]=4

For a TimeSeries, SamplingPeriod resamples uniformly:

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-vnm86r

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-3yp4h7

Out[2]=2

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-5wnjoc

Out[3]=3

Downsample the time series when creating the data model:

In[4]:=4

✖

https://wolfram.com/xid/0rke2minlwcx4l5-z204yj

Simulate and plot the output:

In[5]:=5

✖

https://wolfram.com/xid/0rke2minlwcx4l5-4q9v4z

Out[5]=5

GeneratedAssetLocation (1)

Data is stored in the model by default:

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-cs3o69

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

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-2yakkw

Applications (1)Sample problems that can be solved with this function

Create a data model with noisy output for 5 seconds:

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-n0lgmz

Connect it to a lowpass filter:

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-wydkkh

Out[2]=2

Simulate the filtering model:

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-6z7yow

Out[3]=3

Show the signal before and after filtering:

In[4]:=4

✖

https://wolfram.com/xid/0rke2minlwcx4l5-7j9gr2

Out[4]=4

Properties & Relations (2)Properties of the function, and connections to other functions

Insert created model in a package:

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-whd7n3

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-ygbk9j

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-hmu6r5

The package contains both created models:

In[4]:=4

✖

https://wolfram.com/xid/0rke2minlwcx4l5-svmro4

Out[4]=4

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

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-9di0tq

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-x8ody0

Out[2]=2

Possible Issues (1)Common pitfalls and unexpected behavior

Larger datasets in the model may lead to slower simulations:

In[1]:=1

✖

https://wolfram.com/xid/0rke2minlwcx4l5-5dlag7

In[2]:=2

✖

https://wolfram.com/xid/0rke2minlwcx4l5-fwzjfm

In[3]:=3

✖

https://wolfram.com/xid/0rke2minlwcx4l5-0cxp6

Out[3]=3

Simulating with data exported using MCTT Export is faster:

In[4]:=4

✖

https://wolfram.com/xid/0rke2minlwcx4l5-2it50l

In[6]:=6

✖

https://wolfram.com/xid/0rke2minlwcx4l5-0txbhl

Out[6]=6

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

In[16]:=16

✖

https://wolfram.com/xid/0rke2minlwcx4l5-qyupui

In[17]:=17

✖

https://wolfram.com/xid/0rke2minlwcx4l5-nf85z7

Out[17]=17

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Read

CreateDataSystemModel

✖
`CreateDataSystemModel`

Details and Options

Examples

Basic Examples (3)Summary of the most common use cases

Scope (18)Survey of the scope of standard use cases

Value Lists (4)

Time-Value Pairs (3)

TimeSeries (3)

InterpolatingFunction (2)

Functions (3)

Data Specification (3)

Options (7)Common values & functionality for each option

InterpolationOrder (3)

SamplingPeriod (3)

GeneratedAssetLocation (1)

Applications (1)Sample problems that can be solved with this function

Properties & Relations (2)Properties of the function, and connections to other functions

Possible Issues (1)Common pitfalls and unexpected behavior

Text

CMS

APA

BibTeX

BibLaTeX

	{v₁,v₂,…},{{t₁,v₁},…}	1
	TimeSeries, InterpolatingFunction	preserved
	fun	3

	"Time"	time column and value columns
	"1D"	argument column and value columns
	"2D"	arguments row and column and value matrix

CreateDataSystemModel ✖ CreateDataSystemModel

Details and Options

Examples

Basic Examples (3)Summary of the most common use cases

Scope (18)Survey of the scope of standard use cases

Value Lists (4)

Time-Value Pairs (3)

TimeSeries (3)

InterpolatingFunction (2)

Functions (3)

Data Specification (3)

Options (7)Common values & functionality for each option

InterpolationOrder (3)

SamplingPeriod (3)

GeneratedAssetLocation (1)

Applications (1)Sample problems that can be solved with this function

Properties & Relations (2)Properties of the function, and connections to other functions

Possible Issues (1)Common pitfalls and unexpected behavior

See Also

Related Guides

Related Links

History

Text

CMS

APA

BibTeX

BibLaTeX

CreateDataSystemModel

✖
`CreateDataSystemModel`