User`s guide

3 Linear Model Identification
Concatenating Model Objects
In this section...
“About Concatenating Models” on page 3-124
“Limitation on Supported Models” on page 3-124
“Horizontal Concatenation of Model Objects” on page 3-125
“Vertical Concatenation of Model Objects” on page 3-125
“Concatenating Noise Spectral Data of idfrd O bjects” on page 3-126
“See Also” on page 3-127
About Concatenating Models
You can perform horizontal and vertical concatenation of linear model objects
to grow the number of inputs or outputs in the model.
When yo u concatenate parametric models, such as
idarx, i dgre y, idpoly,
idproc,andidss model objects, the resulting model combines the parameters
of the individual m odels.
You can also concatenate nonparametric models, which contain the estim ated
impulse-response (
idarx object) and frequency-response (idf rd object)ofa
system.
In case of
idfrd models, concatenation combines information in the
ResponseData properties of the individual m odel objects. ResponseData is
an
ny-by-nu-by- nf array that stores the response of the system, where ny
is the number of output channels, nu is the number of input channels, and
nf is the number of frequency values. The (j ,i,: ) vector of the resulting
response data represents the frequency response from the
ith input to the
jth output at all frequencies.
Limitation on Supported Models
Concatenation is supported for linear models only.
3-124