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From: AsimV &lt;asimvod@gmail.com&gt;
Newsgroups: comp.soft-sys.matlab
Subject: Linear parametric identification
Date: Sun, 22 Feb 2009 03:53:01 -0800 (PST)
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Hello to all,

I'm experimenting with linear parametric identification methods. I
have tested this methods when output data contains noise. I simulated
noise by random number generator.
Can you please explain to me what does it mean when one gets the
following result:
g2 = tf(arx221)

Transfer function from input &quot;u1&quot; to output &quot;y1&quot;:
   -0.4777 z + 0.4677
------------------------
z^2 - 0.9353 z - 0.01695

Transfer function from input &quot;v@y1&quot; to output &quot;y1&quot;:
      0.01454 z^2
------------------------
z^2 - 0.9353 z - 0.01695

Data object for identification is formed from one input and one output
vector. It is SISO system. How to inperpret input &quot;v@y1&quot; to output
&quot;y1&quot;? What does it mean?

Thank you
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