User`s guide

Transforming Between D iscrete-Time and Continuous-Time Representations
Note c2d and d2d correctly approximate the transformation of the noise
model when the sampling interval
T is small compared to the bandwidth
of the noise.
Command
Description
Usage Example
c2d
Converts
continuous-time
models to discrete-time
models.
To transform a continuous-time
model
mod_c to a discrete-time
form, use the followin g
command:
mod_d = c2d(mod_c,T)
where T is the sampling interval
of the discrete -time m odel.
d2c
Converts parametric
discrete-time models
to continuous-time
models.
To transform a discrete-time
model
mod_d to a
continuous-time form, use
the following command:
mod_c = d2c(mod_d)
d2d
Resample a linear
discrete-time
model and produce
an equivalent
discrete-time model
with a new sampling
interval.
You can use the
resampled m odel to
simulate or predict
output with a specified
time interval.
To resample a discrete-time
model
mod_d1 to a discrete-tim e
form with a new sampling
interval
Ts,usethefollowing
command:
mod_d2 = d2d(mod_d1,Ts)
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