Matlab: How to fit a state space model to data with nlinfit -

I have run an experiment and want to fit data into a state space model. Unfortunately, I have some experience about how to implement this, so there was hope for some help.

The participants of the experiment have access to different goals. Participants receive feedback about their movement through the cursor on the screen. This cursor displays their access movement, but rotates 30 degrees. . This means participants initially made big errors, but they reduced them with practice again.

The following data provides results of some examples. Each value represents an 'era' (average of eight tests):

18.26 13.95 10.92 10.32 8.23 ​​6.57 7.05 5.98 5.99 4.58 4.35 3.72 3.71 3.04 4.47 4.16 < / Blockquote>

I have found a paper that has used a similar experiment and fits a state space model for its data. The model is made up of two equations:

1) e (n) = p (n) - s (n) + e (n) 2) s (n + 1) = s (A) (A) (A) (A) (A) (A) (A) (N) = Error on test (i.e. above value) P (n) = applied to mobility movement (i.e. 30 degrees) N) = Internal Position System A (N) = Noise = A optimization rate for confusion

This indicates that they used the nlinfit matlab function to implement this model Is but i do not know how i Any help would be greatly appreciated!

I've just seen your post, later In the experience, however, I know that if you have a system that wants to get a state space model for you, and you have measured the input and related information, the measured output from your system , You can use the 'PAM' function which you can use in a state of space based on your measurement Delivery will.

'pem' function system is part of the identity Toolbox. >