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首页System Identification Toolbox系统辨识工具箱入门手册
System Identification Toolbox系统辨识工具箱入门手册

System identification is a methodology for building mathematical models of dynamic systems on page 1-4 using measurements of the system’s input and output signals. The process of system identification requires that you: • Measure the input and output signals on page 1-7 from your system in time or frequency domain. • Select a model structure on page 1-9. • Apply an estimation method on page 1-10 to estimate value for the adjustable parameters in the candidate model structure. • Evaluate the estimated model on page 1-16 to see if the model is adequate for your application needs.
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System Identication Toolbox™
Getting Started Guide
Lennart Ljung
R2018a

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System Identication Toolbox
™
Getting Started Guide
© COPYRIGHT 1988–2018 by The MathWorks, Inc.
The software described in this document is furnished under a license agreement. The software may be used
or copied only under the terms of the license agreement. No part of this manual may be photocopied or
reproduced in any form without prior written consent from The MathWorks, Inc.
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FAR 12.212, DFARS Part 227.72, and DFARS 252.227-7014. Accordingly, the terms and conditions of this
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Revision History
March 2007 First printing New for Version 7.0 (Release 2007a)
September 2007 Second printing Revised for Version 7.1 (Release 2007b)
March 2008 Third printing Revised for Version 7.2 (Release 2008a)
October 2008 Online only Revised for Version 7.2.1 (Release 2008b)
March 2009 Online only Revised for Version 7.3 (Release 2009a)
September 2009 Online only Revised for Version 7.3.1 (Release 2009b)
March 2010 Online only Revised for Version 7.4 (Release 2010a)
September 2010 Online only Revised for Version 7.4.1 (Release 2010b)
April 2011 Online only Revised for Version 7.4.2 (Release 2011a)
September 2011 Online only Revised for Version 7.4.3 (Release 2011b)
March 2012 Online only Revised for Version 8.0 (Release 2012a)
September 2012 Online only Revised for Version 8.1 (Release 2012b)
March 2013 Online only Revised for Version 8.2 (Release 2013a)
September 2013 Online only Revised for Version 8.3 (Release 2013b)
March 2014 Online only Revised for Version 9.0 (Release 2014a)
October 2014 Online only Revised for Version 9.1 (Release 2014b)
March 2015 Online only Revised for Version 9.2 (Release 2015a)
September 2015 Online only Revised for Version 9.3 (Release 2015b)
March 2016 Online only Revised for Version 9.4 (Release 2016a)
September 2016 Online only Revised for Version 9.5 (Release 2016b)
March 2017 Online only Revised for Version 9.6 (Release 2017a)
September 2017 Online only Revised for Version 9.7 (Release 2017b)
March 2018 Online only Revised for Version 9.8 (Release 2018a)


Product Overview
1
System Identication Toolbox Product Description ......... 1-2
Key Features ..................................... 1-2
Acknowledgments .................................... 1-3
System Identication Overview ......................... 1-4
What Is System Identication? ........................ 1-4
About Dynamic Systems and Models .................... 1-4
System Identication Requires Measured Data ............ 1-7
Building Models from Data ........................... 1-9
Black-Box Modeling ............................... 1-11
Grey-Box Modeling ................................ 1-14
Evaluating Model Quality ........................... 1-16
Learn More ..................................... 1-19
Related Products .................................... 1-21
Using This Product
2
When to Use the App vs. the Command Line ............... 2-2
System Identication Workow ......................... 2-4
Commands for Model Estimation ........................ 2-6
v
Contents
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