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The models included shows three different ways to implement a kalman filter in Simulink(R). The first uses the kalman function in control system toolbox to design a steady state kalman filter. The second is an embedded MATLAB(R) block implementation. The third is an implementation is pure basic Simulink(R) blocks. The last two implementations include calculation of the kalman gain.
Use these models to learn about the kalman filter and how it can be implemented in Simulink(R). The filter is applied to a linear five-state dc motor model.
Cite As
Roger Aarenstrup (2026). Learning Kalman Filter Implementation in Simulink(R) (https://uk.mathworks.com/matlabcentral/fileexchange/28197-learning-kalman-filter-implementation-in-simulink-r), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired by: PID and State Feedback Control of DC Motors
General Information
- Version 1.1.0.1 (36.4 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux