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.

You can validate a linearization using the following approaches:

See Also

linearize | slLinearizer

Related Topics

• Analyze Batch Linearization Results in Model Linearizer
• Analyze Command-Line Batch Linearization Results Using Response Plots