The Fixed-Point Tool uses ranges collected during this phase of the conversion process to propose data types for your model. Do this step after you have prepared your system for conversionPrepare System for Conversion. You can collect ranges through simulation with instrumentation, range analysis, or a combination of the two. To determine which approach you should use, see Choosing a Range Collection Method.
||Create fixed-point converter object|
Second step in autoscaling workflow.
How to add, edit and delete shortcuts to manage runs
How to log simulation minimum and maximum values for a model that contains multiple instances of the same referenced model.
Use the Fixed-Point Tool to convert a MATLAB® Function block to fixed-point
Control views in the Fixed-Point Tool.
Details the steps taken to convert a floating-point model to fixed point.
Use the command line interface of the Fixed-Point Tool to autoscale a model.
Introduces the Fixed-Point Tool
Learn how to manage multiple runs and set up shortcuts with the shortcut editor.
The Fixed-Point Tool logs simulation minimum and maximum values (ranges) for referenced models.
This section describes how data type override behaves with bus objects, and how data types are determined for bus objects.
Workflow steps for autoscaling using simulation data.
Highlight the differences between the command-line interface workflow and the Fixed-Point Tool workflow
Control fixed-point instrumentation and data type override settings to gather range information on your model.
How to derive range information using the Fixed-Point Tool
Differences between deriving ranges at the model level and at the subsystem level
Derive ranges for a model that contains multiple instances of the same referenced model.
How range analysis using design range information when deriving ranges.
This example shows how range analysis takes into account block initial conditions.
This example shows how the range analysis takes into account design range information for Simulink.Parameter objects.
How to view derived range information in the Fixed-Point Tool
This section shows how to convert a floating-point model that contains bus objects to fixed-point using range analysis.
Use the Fixed-Point Tool to convert a model containing a MATLAB Function block to fixed point using range analysis.
Describes how the analysis derives range information
The Fixed-Point Tool derives minimum and maximum values for referenced models.
Overview of software features that are not supported for range analysis.
Summary of range analysis support for Simulink® blocks.
Interpret the Intermediate Maximum and Intermediate Minimum results in the Result Details tab.
This section explains how to maintain integer data types in your model when using data type override
The following table shows the different types of range analysis issues and the steps to resolve them.
If you specify conflicting design minimum and maximum values in your model, the range analysis software reports an error.
If the analysis cannot derive range information because there is insufficient design range information, you can fix the issue by providing additional input design minimum and maximum values.
This example demonstrates how to proceed if the analysis cannot derive range information because there is insufficient design range information.
How to reconfigure a System Object, if necessary, so that ranges can be derived for the model.