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 conversion Prepare 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.
Workflow steps for autoscaling using simulation data.
Introduces the Fixed-Point Tool
Details the steps taken to convert a floating-point model to fixed point.
How to filter information in the Fixed-Point Tool.
Learn how to manage multiple runs and set up shortcuts with the shortcut editor.
Control fixed-point instrumentation and data type override settings to gather range information on your model.
Highlight the differences between the command-line interface workflow and the Fixed-Point Tool workflow
Use the command line interface of the Fixed-Point Tool to autoscale a model.
The Fixed-Point Tool logs simulation minimum and maximum values (ranges) for referenced models.
Describes how the analysis derives range information
Differences between deriving ranges at the model level and at the subsystem level
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
Interpret the Intermediate Maximum and Intermediate Minimum results in the Result Details tab.
Summary of range analysis support for Simulink® blocks.
Overview of software features that are not supported for range analysis.
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.