Application Description Operating Point
Computation OptionsLinearization WorkflowYour model has multiple
operating conditions that
depend on the values of
varying model parameters.
Use this approach when
creating linear time-varying
(LTV) models.- Batch trim your model
for the varying
parameter values, using
a single model
compilation when
possible. Batch trimming
is not supported in the
Linear Analysis Tool. - Trim the model
separately for each
parameter value
combination, which
requires multiple model
compilations. Use this
option with the Linear
Analysis Tool. - Compute an operating
point at a simulation
snapshot for each
parameter value
combination.
(^1) Define parameter
values for trimming.
(^2) Compute operating
points for the specified
parameter value
variations.
(^3) Batch linearize the
model at the computed
operating points using
the corresponding
parameter value
combinations.
For an example, see:
- “Batch Linearize Model
at Multiple Operating
Points Derived from
Parameter Variations” on
page 3-25 - “LPV Approximation of a
Boost Converter Model”
on page 3-129
In addition to varying operating points and model parameters, you can obtain multiple
transfer functions from your system by varying the linearization I/O configuration using
an slLinearizer interface. You can do so for a model with a single operating point and
no parameter variation, and also for any of the batch linearization options in the
preceding table. For more information, see “Vary Operating Points and Obtain Multiple
Transfer Functions Using slLinearizer Interface” on page 3-41 and “Vary Parameter
Values and Obtain Multiple Transfer Functions” on page 3-32.
Choose Batch Linearization Tool
You can perform batch linearization using the Linear Analysis Tool or at the MATLAB
command line using either the linearize function or an slLinearizer interface. Use
the following table to choose a batch linearization tool.
Choose Batch Linearization Methods