Seleccionar datos para la estimación
Para estimar modelos, System Identification Toolbox™ permite seleccionar un subconjunto de un conjunto de datos de entrada/salida representado, crear un nuevo conjunto de datos a partir del conjunto de datos existente o crear conjuntos de datos multiexperimento.
Para obtener información detallada sobre cómo representar en primer lugar datos del dominio del tiempo y del dominio de la frecuencia en MATLAB®, consulte Representing Data in MATLAB Workspace.
Funciones
fselect | Select frequency points or range in FRD model |
getexp | Get specific experiments from multiple-experiment data set |
merge (iddata) | Merge data sets into iddata object |
fcat | Concatenate FRD models along frequency dimension |
Temas
- Specify Estimation and Validation Data in the App
You should use different data sets to estimate and validate your model for best validation results.
- Select Subsets of Data
Select portions of data for identification in the app or at the command line.
- Create Data Sets from a Subset of Signal Channels
You can create a new data set in the System Identification app by extracting subsets of input and output channels from an existing data set.
- Create Multiexperiment Data Sets in the App
You can create a time-domain or frequency-domain data set in the System Identification app that includes several experiments.
- Create Multiexperiment Data at the Command Line
You can create
iddataobjects that contain several experiments. - Dealing with Multi-Experiment Data and Merging Models
This example shows how to deal with multiple experiments and merge models when working with System Identification Toolbox™ for estimating and refining models.
- Extract and Model Specific Data Segments
This example shows how to create a multi-experiment, time-domain data set by merging only the accurate data segments and ignoring the rest.
