CalibratedSystemModel
represents the symbolic calibrated system model obtained from SystemModelCalibrate.
Details
- CalibratedSystemModel is generated by the function SystemModelCalibrate and provides ways of summarizing, exploring and extracting calibration results.
- A CalibratedSystemModel[…] object csm can be used to retrieve properties through csm["property"].
- csm["Properties"] gives a list of available properties. Additional details about the properties are listed on the page for SystemModelCalibrate.
- Typical properties include:
-
"CalibratedModel" new model with calibrated parameters "CalibratedParameters" parameter estimates "ParameterConfidence" parameter confidence information "MeanPredictionBandsPlot" mean predictions confidence bands plot with calibration data "SinglePredictionBandsPlot" plot of confidence bands based on single observations with calibration data - Other specifications include:
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{p1,…,pn} get the values of properties pi "Summary" get the summary of the calibration "Dataset" get property names and values as a Dataset "PropertyAssociation" get property names and values as an Association
Examples
open allclose allBasic Examples (1)
Calibrate a StateSpaceModel, using data generated with an input signal:
Calibrate, specifying the model input, and create a CalibratedSystemModel:
Scope (1)
Properties (1)
Find the list of available properties:
Extract the single prediction bands plot:
Extract the single prediction bands plot with a custom confidence level:
Extract the single prediction bands plot with a custom variance estimator function:
Extract the calibrated model and the calibrated parameters:
Extract the single prediction bands:
Extract the single prediction bands evaluated at time t:
Extract the root mean squared error for each calibration variable:
Extract the root mean squared error for each calibration variable, providing a validation set:
Extract parameter confidence information, including estimates, standard errors, confidence intervals,
Applications (1)
Use multiple measurements of two substances' concentrations to calibrate and validate a model of the chemical reaction:
Select the model, specify the reaction coefficients as calibration parameters and introduce parameter constraints:
Aggregate the data points of most of the measurements to use as calibration data:
Calibrate the model, indicating the data for the concentration variables and the simulation interval:
Extract the plot of the single prediction bands:
Compute the root mean squared errors, using the remaining data path as validation data:
Text
Wolfram Research (2023), CalibratedSystemModel, Wolfram Language function, https://reference.wolfram.com/language/ref/CalibratedSystemModel.html.
CMS
Wolfram Language. 2023. "CalibratedSystemModel." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/CalibratedSystemModel.html.
APA
Wolfram Language. (2023). CalibratedSystemModel. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/CalibratedSystemModel.html