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An accurate system model is one that performs as expected and produces the desired results. To achieve this level of accuracy you must have a clear modeling goal. For example, will the model be used strictly for simulation, or for generating embedded C code?
This article describes five modeling techniques that can help ensure accuracy:
* Select the right modeling approach
* Know your system, understand its dynamics
* Monitor for unacceptable results
* Verify simulation results
* Understand modeling assumptions
The full article can be found here:
https://www.mathworks.com/company/newsletters/articles/building-accurate-realistic-simulink-models.html
Cite As
Seth Popinchalk (2026). Accurate Modeling in Simulink (https://www.mathworks.com/matlabcentral/fileexchange/12884-accurate-modeling-in-simulink), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.1 (243 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux