Learning Kalman Filter Implementation in Simulink(R)

Three different implementations of a kalman filter in Simulink(R).
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Aktualisiert 1. Sep 2016

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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.

Zitieren als

Roger Aarenstrup (2024). Learning Kalman Filter Implementation in Simulink(R) (https://www.mathworks.com/matlabcentral/fileexchange/28197-learning-kalman-filter-implementation-in-simulink-r), MATLAB Central File Exchange. Abgerufen.

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Erstellt mit R2010a
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Inspiriert von: PID and State Feedback Control of DC Motors

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Version Veröffentlicht Versionshinweise
1.1.0.1

Updated license

1.1.0.0

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1.0.0.0