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Asked by ramayya venna
on 5 Feb 2013

Discrete-time ARMAX model: A(z)y(t) = B(z)u(t) + C(z)e(t) A(z) = 1 - 2.916 z^-1 + 2.84 z^-2 - 0.9237 z^-3

B1(z) = 0.0004539 - 0.002285 z^-1

B2(z) = -1.451e-05 - 1.763e-05 z^-1

B3(z) = -0.00468 + 0.004787 z^-1

C(z) = 1 + 0.7955 z^-1 + 0.795 z^-2 + 0.998 z^-3

In the above function, what is e(t)? How to find y(t) for new data set (testing purpose)?

Answer by Shashank Prasanna
on 5 Feb 2013

e(t) is noise disturbance or also called innovations terms. Usually assumed to be white noise. Once you have the estimated model supply your u(t) and look at the response, its just like any regular transfer function.

Answer by Rajiv Singh
on 2 May 2013

Finding values of y(t) for a given u(t) is **simulation**. Use the SIM command: http://www.mathworks.com/help/ident/ref/sim.html

Simulation will assume zero values for innovations e(t). If you need to predict K-step head values of y(t) using past measurements of (u,y), use PREDICT http://www.mathworks.com/help/ident/ref/predict.html

See http://www.mathworks.com/help/ident/simulation-and-prediction.html for more information on simulation and prediction.

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