Linear greybox model estimation
sys = greyest(data,init_sys)
sys = greyest(data,init_sys,opt)
[sys,x0] = greyest(___)
estimates
a linear greybox 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 greybox 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 inputargument combinations.sys
,x0
] = greyest(___)

Estimation data. The dimensions of the inputs and outputs of For timedomain estimation, For frequency domain estimation, 

Identified linear greybox model that configures the initial
parameterization of


Estimation options.


Estimated greybox 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 