Estimating Models
The pop-up menu Estimate provides various methods for estimating models
based on the Working Data set. The models will be inserted into the
Models board.
The pop-up has the following choices:
- Parametric models...
- Opens a dialog, which allows you to generate dynamic linear models with
different structures, orders, and delays.
A model structure characterizes the relationship between input and output data
and between unknown noise sources and the output data. Supported model structures
include ARX, ARMAX, Output Error (OE), Box-Jenkins (BJ), State-Space, and others.
- Process models...
- Opens a dialog, which allows you to simple continuous time dynamic linear models
characterized by Static gain, time constants and time delays.
- Spectral model...
- Estimates the system's frequency response from the data using either
Fourier Transform techniques or the Blackman-Tukey approach.
- Correlation model...
- Estimates the system's transient response (impulse response)
by correlating filtered versions of the input-output data.
- Quick start
- Performs correlation analysis and spectral analysis.
Computes a default ARX model with a delay heuristically determined based on the
estimated impulse reponse of the system as well as a default order state-space model.
Help topics.
(file idestm.htm)