Arreglos de los modelos

R2026b

Generación de recopilaciones de modelos, como en estudios de parámetros

Los arreglos de los modelos permiten analizar recopilaciones de múltiples modelos lineales, que se almacenan como elementos en un único arreglo de MATLAB^®.

Funciones

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Manipulación de arreglos

`stack`	Crear un arreglo de modelos apilando modelos o arreglos de modelos a lo largo de las dimensiones del arreglo
`nmodels`	Number of models in model array
`permute`	Reorganizar las dimensiones de los arreglos en arreglos de modelos
`reshape`	Cambiar el formato del arreglo de modelos
`repsys`	Replicate and tile models
`voidModel`	Mark missing or irrelevant models in model array

Muestreo de modelos

`sampleBlock`	Sample Control Design blocks in generalized model
`rsampleBlock`	Randomly sample Control Design blocks in generalized model

Temas

Conceptos básicos sobre los arreglos de modelos

Model Arrays
Store multiple dynamic system objects in a single MATLAB array for multiple-model design and analysis.
Model Array with Single Parameter Variation
Use the stack command to create a 1-D array of transfer functions with a parameter that varies from model to model.
Model Array with Variations in Two Parameters
Create an array of models over a grid of parameter values, and use the SamplingGrid property to keep track of parameter values across the array.
Study Parameter Variation by Sampling Tunable Model
Sample a parametric model of a second-order filter across a grid of parameter values using sampleBlock.
Select Models from Array
Select individual models or sets of models from a model array using array indexing.
Query Array Size and Characteristics
Query array attributes such as the array dimensions, and query characteristics of the models in the array, such as I/O dimensions and stability.

Sistemas LPV

Using LTI Arrays for Simulating Multi-Mode Dynamics
This example shows how to construct a Linear Parameter Varying (LPV) representation of a system that exhibits multi-mode dynamics.