Simulink Control Design™ - MathWorks

Parameter

Variation

Block Substitution Linearize At... Resulting linsys

Dimensions

N 1 -by-...-by-Nm

array of operating

point objects,

specified by op

Ns snapshots,

specified as a vector

of snapshot times

using op

Ns-by-N 1 -by-...-by-

Nm

For example, suppose:

• op is a 4-by-3 array of operating point objects and you do not specify parameter
  variations or block substitutions. In this case, linsys is a 4-by-3 model array.


• op is a single operating point object and param specifies a 3-by-4-by-2 parameter grid.
  In this case, linsys is a 3-by-4-by-2 model array.


• op is a row vector of positive scalars with two elements and you do not specify param.
  In this case, linsys is a column vector with two elements.


• op is a column vector of positive scalars with three elements and param specifies a 5-
  by-6 parameter grid. In this case, linsys is a 3-by-5-by-6 model array.


• op is a single operating point object, you do not specify parameter variations, and
  blocksub.Value is a 2-by-3 model array for one block in the model. In this case,
  linsys is a 2-by-3 model array.


• op is a column vector of positive scalars with four elements, you do not specify
  parameter variations, and blocksub.Value is a 1-by-2 model array for one block in
  the model. In this case, linsys is a 4-by-1-by-2 model array.

For more information on model arrays, see “Model Arrays” (Control System Toolbox).

linop — Operating point
operating point object | array of operating point objects

Operating point at which the model was linearized, returned as an operating point object
or an array of operating point objects with the same dimensions as linsys. Each element
of linop is the operating point at which the corresponding linsys model was obtained.

If you specify op as a single operating point object or an array of operating point objects,
then linop is a copy of op. If you specify op as a single operating point object and also

linearize