Simulink Control Design™ - MathWorks

specify parameter variations using param, then linop is an array with the same

dimensions as the parameter grid. In this case, the elements of linop are scalar

expanded copies of op.

To determine whether the model was linearized at a reasonable operating point, view the

states and inputs in linop.

info — Linearization information

structure

Linearization information, returned as a structure with the following fields:

Offsets — Linearization offsets

[] (default) | structure | structure array

Linearization offsets that correspond to the operating point at which the model was

linearized, returned as [] if options.StoreOffsets is false. Otherwise, Offsets is

returned as one of the following:

• If linsys is a single state-space model, then Offsets is a structure.


• If linsys is an array of state-space models, then Offsets is a structure array with
  the same dimensions as linsys.

Each offset structure has the following fields:

Field Description

x State offsets used for linearization, returned as a column vector of length nx,

where nx is the number of states in linsys.

y Output offsets used for linearization, returned as a column vector of length

ny, where ny is the number of outputs in linsys.

u Input offsets used for linearization, returned as a column vector of length nu,

where nu is the number of inputs in linsys.

dx Derivative offsets for continuous time systems or updated state values for

discrete-time systems, returned as a column vector of length nx.

StateNam

e

State names, returned as a cell array that contains nx elements that match

the names in linsys.StateName.

InputNam

e

Input names, returned as a cell array that contains nu elements that match

the names in linsys.InputName.

15 Alphabetical List