greyest
Linear grey-box model estimation
Syntax
sys = greyest(data,init_sys)
sys = greyest(data,init_sys,opt)
[sys,x0] = greyest(___)
Description
estimates a linear grey-box model, sys
= greyest(data
,init_sys
)sys
, using time or frequency
domain data, data
. The dimensions of the inputs and outputs of
data
and init_sys
, an
idgrey
model, must match. sys
is an
identified idgrey
model that has the same structure as
init_sys
.
estimates a linear grey-box model using the option set, sys
= greyest(data
,init_sys
,opt
)opt
, to
configure the estimation options.
[
returns the value of the initial states computed during estimation. You can use this
syntax with any of the previous input-argument combinations.sys
,x0
] = greyest(___)
Input Arguments
|
Estimation data. The dimensions of the inputs and outputs of For time-domain estimation, For frequency domain estimation, |
|
Identified linear grey-box model that configures the initial
parameterization of
|
|
Estimation options.
|
Output Arguments
|
Estimated grey-box model, returned as an Information about the estimation results and options used is stored in
the
For more information on using | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Initial states computed during the estimation, returned as a matrix containing a column vector corresponding to each experiment. This array is also stored in the |
Examples
Extended Capabilities
Version History
Introduced in R2012a