Batch Linearization Basics

What Is Batch Linearization?

You can extract multiple linearizations from a Simulink model for various combinations of I/Os, operating points, and parameter values.

Choose Batch Linearization Methods

Simulink Control Design™ software provides multiple tools and methods for batch linearization.

Mark Signals of Interest for Batch Linearization

When batch linearizing a model you can mark signals of interest using analysis points. You can then analyze the response of your system at any of these points.

Operating Point Variation

Batch Linearize Model at Multiple Operating Points Using linearize Command

You can linearize your model at multiple trimmed operating points or for multiple simulation snapshots.

Vary Operating Points and Obtain Multiple Transfer Functions Using slLinearizer Interface

Batch linearize your model at multiple operating points and obtain multiple open-loop and closed-loop transfer functions from the model.

Parameter Variation

Specify Parameter Samples for Batch Linearization

You can vary one or more model parameters and batch linearize your model at the command line or using the Model Linearizer.

Batch Linearization Efficiency When You Vary Parameter Values

If all the model parameters you vary are tunable, the Simulink Control Design linearization tools use a single model compilation to compute linearizations for all parameter grid points.

Batch Linearize Model for Parameter Value Variations Using Model Linearizer

Vary model parameter values and obtain multiple open-loop and closed-loop transfer functions from the model using the Model Linearizer.

Batch Linearize Model for Parameter Variations at Single Operating Point

Vary model parameters and linearize a model at its nominal operating conditions using the linearize command.

Batch Linearize Model at Multiple Operating Points Derived from Parameter Variations

If parameter variations affect the operating point of your system, trim the model for each parameter-value combination before linearization.

Vary Parameter Values and Obtain Multiple Transfer Functions

Batch linearize your model for parameter variations, and obtain multiple open-loop and closed-loop transfer functions using an slLinearizer interface.

More Efficient Batch Linearization Varying Parameters

This example shows how to speed up the batch linearization of a model when a set of model parameters are varied.

Batch Linearization to Obtain Multiple Transfer Functions for Varied Parameter Values

This example shows how to use the slLinearizer interface to batch linearize a Simulink model.

Linear Parameter Varying Approximation of Nonlinear Systems

Approximating Nonlinear Behavior Using an Array of LTI Systems

You can use linear parameter varying models to approximate the dynamics of nonlinear systems.

LPV Approximation of a Boost Converter Model

Approximate a nonlinear Simscape™ Electrical™ model using a linear parameter varying model.

Analysis and Validation

Validate Batch Linearization Results

You can validate your batch linearization results in the time domain or the frequency domain.

Analyze Batch Linearization Results in Model Linearizer

Plot and analyze responses for batch linearization results using the Model Linearizer.

Analyze Command-Line Batch Linearization Results Using Response Plots

Plot and analyze responses for batch linearization results at the command line.