Level of excitation of input signals
Ped = pexcit(Data)
[Ped,Maxnr] = pexcit(Data,Maxnr,Threshold)
ped = pexcit(___,Name,Value)
Ped = pexcit(Data) tests the degree of persistence of excitation
for the input.
Data can contain time-domain or frequency-domain input/output
data, and can be in the form of a
timetable, a comma-separated pair of numeric matrices, or an
iddata object. If there are multiple experiments,
data can be a cell array.
Ped is the degree or order of excitation of the inputs in
Data and is a row vector of integers with as many components as
there are inputs in
Data. The intuitive interpretation of the degree
of excitation in an input is the order of a model that the input is capable of
estimating in an unambiguous way.
[Ped,Maxnr] = pexcit(Data,Maxnr,Threshold) specifies the maximum
order tested and threshold level used to measure which singular values are significant.
Default value of
N is the number of input data. Default value of
ped = pexcit(___,
uses additional model options specified by one or more name-value arguments.
The available arguments consist of
OutputName, which are the input and output channel names. Use
these arguments especially when
data is a timetable that has more
variables than you want to use. Also use
OutputName to identify the
output channels when the timetable
data contains more than one
output variable. Otherwise, the software interprets only the last variable as an output
For example, specify the input and output signal variable names using
Section 13.2 in Ljung (1999).
Introduced before R2006a