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Learning Kalman Filter Implementation in Simulink(R)

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Learning Kalman Filter Implementation in Simulink(R)



13 Jul 2010 (Updated )

Three different implementations of a kalman filter in Simulink(R).

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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.


Pid And State Feedback Control Of Dc Motors inspired this file.

Required Products Simulink
MATLAB release MATLAB 7.10 (R2010a)
Other requirements Control system toolbox is needed for one of the filters.
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Comments and Ratings (5)
16 Nov 2014 kushwinder singh

thanks for help

01 Jan 2014 ausin

ausin (view profile)

Smart, superb!

15 Apr 2012 Hua Ji

Hua Ji (view profile)

thanks for the uploading, it is very useful.

06 Apr 2012 zhou jianshan

Thank you for your sharing, thanks very much!

20 Dec 2011 ehs

ehs (view profile)

16 Jul 2010 1.1

Updated copyrights

01 Sep 2016

Updated license

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