why unscented kalman filter changes the results of unrelated blocks?
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I am trying to use unscented kalman filter to represent human pilot processing of sensory information. i am using a simple aircraft model K/s (motion model) and a delay to represent visual processing (sensor model). the motion model and sensor model give reasonable results before adding kalman filter, but there results blow up after adding kalman filter. i am not sure how kalman filter can affect the results of systmes not related to it. attache below some pictures and the model.
Before adding kalman filter
![Capture1.JPG](https://www.mathworks.com/matlabcentral/answers/uploaded_files/269670/Capture1.jpeg)
---------> results of the motion model
![untitled.jpg](https://www.mathworks.com/matlabcentral/answers/uploaded_files/269671/untitled.jpeg)
After adding kalman filter
![Capture2.JPG](https://www.mathworks.com/matlabcentral/answers/uploaded_files/269672/Capture2.jpeg)
---------> results of the motion model
![untitled2.jpg](https://www.mathworks.com/matlabcentral/answers/uploaded_files/269673/untitled2.jpeg)
--------> unscented kalman filter parameters
![kf.JPG](https://www.mathworks.com/matlabcentral/answers/uploaded_files/269674/kf.jpeg)
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