Extend Modeling Functionality with Custom Blocks

Implement new algorithms in Simulink^® using MATLAB^®, C/C++, and Fortran

Simulink allows you to implement algorithms designed in MATLAB, C/C++, and Fortran. As a result, you can keep the existing functionality of your code while building more advanced models in Simulink.

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Featured Examples

Radar Tracking Using MATLAB Function Block

Use an extended Kalman filter with the MATLAB® Function block in Simulink® to estimate an aircraft's position from radar measurements. The filter implementation is found in the MATLAB Function block, the contents of which are stored in the Simulink model itself.

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Custom Code and Hand Coded Blocks Using the S-function API

This library launches examples of different types of Simulink® S-functions. Simulink S-functions allow you to extend Simulink with new hand coded blocks, interface to custom external code, and create live interfaces to other programs. Use this example to access models containing S-functions in the C, C++, M, and Fortran.

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Integrate Python GPS Text Message Parsing Algorithms in Simulink

Parse text messages in NMEA GPS format using Simulink® string blocks and Python®. NMEA sentences are used for communication between marine devices, and the model in the example decodes RMB and RMC sentences in NMEA. RMB is the sentence for the recommended navigation data for GPS. RMC is the sentence for the recommended minimum data for GPS sentences.