Developing Models from Experimental Data using System Identification Toolbox-1. webinar_walk_through.m: contains all the linear and nonlinear estimation examples presented during the webinar.



2. Data files and Simulink models: process_data.mat, ExampleModel.mdl, Friction_Model.mdl. Any other data files used in the presentation already ship with the toolbox (ver 7.0).



Products used:

- You basically need only System Identification Toolbox (SITB) to try out most examples.



- To use Simulink blocks, you would, of course, need Simulink.



- Control System Toolbox is used at one place to show how estimated models can be converted into LTI objects (SS, TF etc)



- Optimization Toolbox will be used if available for grey box estimation. If not, SITB s built-in optimizers will be used automatically.



- Other products mentioned: Neural Network Toolbox, Model Predictive Control Toolbox and Robust Control Toolbox.

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