systuneOptions
Set options for systune
Syntax
options = systuneOptions
options = systuneOptions(Name,Value)
Description
returns
the default option set for the options
= systuneOptionssystune
command.
creates
an option set with the options specified by one or more options
= systuneOptions(Name,Value
)Name,Value
pair
arguments.
Input Arguments
Name-Value Arguments
Specify optional pairs of arguments as
Name1=Value1,...,NameN=ValueN
, where Name
is
the argument name and Value
is the corresponding value.
Name-value arguments must appear after other arguments, but the order of the
pairs does not matter.
Before R2021a, use commas to separate each name and value, and enclose
Name
in quotes.
systuneOptions
takes the following Name
arguments:
|
Amount of information to display during
Default: |
|
Maximum number of iterations in each optimization run, when the run does not converge to within tolerance. Default: 300 |
|
Number of additional optimizations starting from random values of the free parameters in the controller. If
Use with Default: 0 |
|
Parallel processing flag. When you use the
If Automatically create a parallel pool is
not selected in your preferences, you can manually start a parallel
pool using Using parallel processing requires Parallel Computing Toolbox software. Default: |
|
Models or design points to ignore, specified as an array of linear indices. Use this option to skip specific models or ignore portions of the
design space when tuning gain-scheduled control systems. For example,
you might want to skip grid points outside the flight envelope of an
airplane model, or points outside the operating range for tuning.
Identify the models to skip by absolute index in the array of models to
tune. Using Default: |
|
Target value for soft constraints. The optimization stops when the largest soft constraint value
falls below the specified Default: 0 |
|
Relative tolerance for termination. The optimization terminates when the relative decrease in the
soft constraint value decreases by less than Default: 0.001 |
|
A priori estimate of best soft constraint value. For problems that mix soft and hard constraints, providing a rough estimate of the optimal value of the soft constraints (subject to the hard constraints) helps to speed up the optimization. Default: 1 |
|
Minimum decay rate for stabilized dynamics. Most tuning goals carry an implicit closed-loop stability or
minimum-phase constraint. Stabilized dynamics refers
to the poles and zeros affected by these constraints. The
Adjust the minimum value if the optimization fails to meet the
default value, or if the default value conflicts with other requirements.
Alternatively, use For more information about implicit constraints for a particular tuning goal, see the reference page for that tuning goal. Default: |
|
Maximum spectral radius for stabilized dynamics. This option constrains all stabilized poles and zeros to satisfy
For more information about implicit constraints for a particular tuning goal, see the reference page for that tuning goal. Default: |
Output Arguments
|
Option set containing the specified options for the |
Examples
Version History
Introduced in R2016aSee Also
systune
| systune
(for slTuner)
(Simulink Control Design)