identify models of dynamic systems from measured data -凯发k8网页登录
identify models of dynamic systems from measured data
description
the system identification app enables you to identify models of dynamic systems from measured input-output data. you can estimate both linear and nonlinear models and compare responses of different models.
using this app you can:
import, plot, and preprocess measured input-output data.
estimate linear models such as transfer functions, process models, polynomial models, and state-space models using time-domain, time series, or frequency-domain data.
estimate nonlinear arx and hammerstein-wiener models using time-domain data.
validate estimated models using independent data sets.
export estimated models for further analysis to matlab® workspace or to the linear system analyzer app in control system toolbox™.
for more information, in the system identification app, select help > system identification app help.
open the system identification app
matlab toolstrip: on the apps tab, under control system design and analysis, click the app icon.
matlab command prompt: enter
systemidentification
.
programmatic use
version history
introduced before r2006a
see also
functions
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