Extended Kalman Filter and PID controller

Thread Starter


Joined Sep 22, 2022
Hello everyone.
I'm trying to build a model based on tracking an object in 2-D using MATLAB. I built the model using an Extended Kalman Filter and a PID controller.

I have a doubt regards the relation of the reference with. I think that it is a theoretical doubt but, after some research I still do not understand.

In your opinion what are the signal that must follow my reference? The state ("real" position x and y) or the estimated state (estimated position x and y")?

Thank you in advance.