Select one or more signal locations in your model as outputs for computing response
to the noise inputs. To constrain a SISO response, select a single-valued output signal.
For example, to constrain the gain from a location named 'u' to a location named
'y', click Add signal to list and select 'y'. To constrain the noise amplification
of a MIMO response, select multiple signals or a vector-valued signal.- Compute output variance with the following loops open
Select one or more signal locations in your model at which to open a feedback loop for
the purpose of evaluating this tuning goal. The tuning goal is evaluated against the
open-loop configuration created by opening feedback loops at the locations you
identify. For example, to evaluate the tuning goal with an opening at a location named
'x', click Add signal to list and select 'x'.TipTo highlight any selected signal in the Simulink model, click. To remove a signalfrom the input or output list, click. When you have selected multiple signals, you canreorder them using and. For more information on how to specify signal locations
for a tuning goal, see “Specify Goals for Interactive Tuning” on page 10-39.Options
Use this section of the dialog box to specify additional characteristics of the variance
goal.- Attenuate input variance by a factor
Enter the desired noise attenuation from the specified inputs to outputs. This value
specifies the maximum ratio of noise variance to output variance.When you tune a control system in discrete time, this requirement assumes that the
physical plant and noise process are continuous, and interprets the desired noise
attenuation as a bound on the continuous-time H 2 norm. This ensures that continuous-
time and discrete-time tuning give consistent results. If the plant and noise processes
are truly discrete, and you want to bound the discrete-time H 2 norm instead, multiple
the desired attenuation value by Ts. Ts is the sample time of the model you are
tuning.10 Control System Tuning