Developing Models from Experimental Data Matlab script

Publisher review:
Developing Models from Experimental Data using System Identification Toolbox - Files and data to support the webinar presented on April 05, 2007 on developing models Contents: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).3. webinar.ppt and webinar.htm: Power point and html version of the slides used for the webinar.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 LTIs. - 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. Requirements: · MATLAB Release: R2007a · Simulink · System Identification Toolbox
Operating system:
Windows / Linux / Mac OS / BSD / Solaris

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