Simulink Control Design™ - MathWorks

Specs — Design goals used for tuning

vector of TuningGoal requirement objects

Design goals used for tuning, returned as a vector of TuningGoal requirement objects.

Runs — Detailed information about each optimization run

structure

Detailed information about each optimization run, returned as a structure. For details, see

“Algorithms” on page 15-425.

The contents of Runs are the info output of the call to systune performed by

looptune. For information about the fields of Runs, see the info output argument

description on the systune reference page.

Definitions

Tuned Blocks

Tuned blocks, used by the slTuner interface, identify blocks in a Simulink model whose

parameters are to be tuned to satisfy tuning goals. You can tune most Simulink blocks

that represent linear elements such as gains, transfer functions, or state-space models.

(For the complete list of blocks that support tuning, see “How Tuned Simulink Blocks Are

Parameterized” on page 10-36). You can also tune more complex blocks such as

SubSystem or S-Function blocks by specifying an equivalent tunable linear model

(Control System Toolbox).

Use tuning commands such as systune to tune the parameters of tuned blocks.

You must specify tuned blocks (for example, C1 and C2) when you create an slTuner

interface.

st = slTuner('scdcascade',{'C1','C2'})

You can modify the list of tuned blocks using addBlock and removeBlock.

To interact with the tuned blocks use:

• getBlockParam, getBlockValue, and getTunedValue to access the tuned block
  parameterizations and their current values.

15 Alphabetical List