How to use Extended Kalman Filter block in Simulink R2018a?

What should be the state transition function inputs and measurement function inputs of the simulink block 'Extended Kalman Filter'? Is the measurements are states itself? Please give an example.

Thank You

Answer 1

[praguna manvi]

Hi @APARNAMOL N A,

As I see you're looking for an example of the "Extended Kalman Filter." Refer to the example below, which uses the block for estimating states of a nonlinear system in R2024b, also present in R2018a:

https://www.mathworks.com/help/ident/ug/multirate-nonlinear-state-estimation-in-simulink.html.

The inputs of an Extended Kalman Filter (EKF) block typically include control inputs, prior state estimates, and measurements. The outputs are the updated state estimates and error covariance, which provide improved predictions and uncertainty quantification. For more information, refer to the following link:

https://www.mathworks.com/help/ident/ref/ekf_block.html.