Simulink Control Design™ - MathWorks

• Array of logical values — Logical array index of linearizations of interest. Suppose that
  you vary two parameters, par1 and par2, and want to extract the linearization for the
  combination of par1 > 0.5 and par2 <= 5. Use:

params = s.Parameters;

mdl_index = params(1).Value>0.5 & params(2).Value <= 5;

The expression params(1).Value>0.5 & params(2).Value<5 uses logical

indexing and returns a logical array. This logical array is the same size as

params(1).Value and params(2).Value. Each entry contains the logical

evaluation of the expression for corresponding entries in params(1).Value and

params(2).Value.

• Vector of positive integers — Linear index of linearizations of interest. Suppose that
  you vary two parameters, par1 and par2, and want to extract the linearization for the
  combination of par1 > 0.5 and par2 <= 5. Use:

params = s.Parameters;

mdl_index = find(params(1).Value>0.5 & params(2).Value <= 5);

The expression params(1).Value>0.5 & params(2).Value<5 returns a logical

array. find returns the linear index of every true entry in the logical array

Output Arguments

linsys — Complementary sensitivity function
state-space model

Complementary sensitivity function, returned as described in the following:

• If you did not configure s.Parameters and s.OperatingPoints, the software
  calculates linsys using the default model parameter values. The software uses the
  model initial conditions as the linearization operating point. linsys is returned as a
  state-space model.


• If you configured s.Parameters only, the software computes a linearization for each
  parameter grid point. linsys is returned as a state-space model array of the same
  size as the parameter grid.


• If you configured s.OperatingPoints only, the software computes a linearization for
  each specified operating point. linsys is returned as a state-space model array of the
  same size as s.OperatingPoints.

getCompSensitivity