Validate Batch Linearization Results
When you batch linearize a model, the software returns a model array containing the
linearized models. There are two ways to validate a linearized model, but both methods
have some computational overhead. This overhead can make validating each model in the
batch linearization results infeasible. Therefore, it can be cost effective to validate either
a single model or a subset of the batch linearization results. You can use linear analysis
plots and commands to determine the validation candidates. For information regarding
the tools that you can use for such analysis, see “Linear Analysis” (Control System
Toolbox).You can validate a linearization using the following approaches:- Obtain a frequency response estimation of the nonlinear model, and compare its
response to that of the linearized model. For an example, see “Validate Linearization
In Frequency Domain” on page 2-145. - Simulate the nonlinear model and compare its time-domain response to that of the
linearized model. For an example, see “Validate Linearization In Time Domain” on
page 2-141.
See Also
linearize | slLinearizerRelated Examples
- “Analyze Batch Linearization Results in Linear Analysis Tool” on page 3-55
- “Analyze Command-Line Batch Linearization Results Using Response Plots” on page
3-48
3 Batch Linearization