Bug in Fit Report for Nlarx Models in System Identification App

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rtn
rtn 2022-6-21
评论： Rajiv Singh 2022-8-9
Hi
Using the System Identification App there is clearly a bug in reporting the fitting. In the Nlarx model it always returns the same fit values although they are not correct. And do not match the model NRMSE. Is this a known issue?

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回答（1 个）

Debraj Bhattacharjee
Can you provide us the reproduction steps where you always get the same fit?
In addition, you see a different value of fit for 'Prediction' focus (as shown in the report) vs on the plot because of the difference between 'Simulation' and 'Prediction' focus. See below for more details:
https://www.mathworks.com/help/ident/ug/definition-simulation-and-prediction.html
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Rajiv Singh
Rajiv Singh 2022-8-9
By default the estimation is performed with "prediction" focus and the response plot is computed for the "simulation" scenario. The fit numbers you see in the model display correspond to the 1-step prediction errors which is what is minimized for training the model. To train a model for simulation error minimization, do:
opt = nlarxOptions('Focus', 'simulation');
model = nlarx(data, <regressors>, opt)
Or, in the app, set the estimation focus to simulation:

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