xPC Target CPU Overloads

Techniques for managing xPC Target CPU overloads.
Updated 1 Sep 2016

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CPU overloads are generally a result of unexpected events or trying to do too much with too little. The default configuration of the xPC Target real-time kernel will stop model execution when a CPU overload is detected. This guarantees hard real-time performance. Nevertheless, it is possible to continue model execution in the presence of CPU overloads. Also, blocks are available that can sense and control the CPU overload counter. This allows for implementing exception handling when CPU overloads occur. These capabilities are described and test models are included to demonstrate.

Cite As

Doug Jones (2024). xPC Target CPU Overloads (https://www.mathworks.com/matlabcentral/fileexchange/23507-xpc-target-cpu-overloads), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2009a
Compatible with any release to R2013b
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes

Updated license

Minor changes to Readme.pdf

Minor changes to Readme.pdf