System Identification

System Identification

Tutorials Presented at the 5th IFAC Symposium on Identification and System Parameter Estimation, F.R. Germany, September 1979

1st Edition - January 1, 1981

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  • Editor: R. Isermann
  • eBook ISBN: 9781483139456

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System Identification is a special section of the International Federation of Automatic Control (IFAC)-Journal Automatica that contains tutorial papers regarding the basic methods and procedures utilized for system identification. Topics include modeling and identification; step response and frequency response methods; correlation methods; least squares parameter estimation; and maximum likelihood and prediction error methods. After analyzing the basic ideas concerning the parameter estimation methods, the book elaborates on the asymptotic properties of these methods, and then investigates the application of the methods to particular model structures. The text then discusses the practical aspects of process identification, which includes the usual, general procedures for process identification; selection of input signals and sampling time; offline and on-line identification; comparison of parameter estimation methods; data filtering; model order testing; and model verification. Computer program packages are also discussed. This compilation of tutorial papers aims to introduce the newcomers and non-specialists in this field to some of the basic methods and procedures used for system identification.

Table of Contents

  • Preface

    Principles of Model Building and Identification

    Step Response and Frequency Response Methods

    Correlation Methods

    Least Squares Parameter Estimation

    Maximum Likelihood and Prediction Error Methods

    Practical Aspects of Process Identification

Product details

  • No. of pages: 91
  • Language: English
  • Copyright: © Pergamon 1981
  • Published: January 1, 1981
  • Imprint: Pergamon
  • eBook ISBN: 9781483139456

About the Editor

R. Isermann

Affiliations and Expertise

Darmstadt University of Technology, Darmstadt, Germany

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