Model Arrays

Generation of collections of models, such as for parameter studies

Model arrays let you analyze collections of multiple linear models, stored as elements in a single MATLAB^® array.

Functions

Array Manipulation

`stack`	Build model array by stacking models or model arrays along array dimensions
`nmodels`	Number of models in model array
`permute`	Rearrange array dimensions in model arrays
`reshape`	Change shape of model array
`repsys`	Replicate and tile models
`voidModel`	Mark missing or irrelevant models in model array

Model Sampling

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

Blocks

LPV System

Simulate Linear Parameter-Varying (LPV) systems

Topics

Model Array Basics

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.

LPV Systems

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.

Linear Parameter-Varying Models

An LPV system is a linear state-space model whose dynamics vary as a function of time-varying parameters. Represent an LPV model in a state-space form using parameter-dependent coefficients.

Documentation