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System Identification: An Overview

Encyclopedia of Systems and Control

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Abstract

This entry gives an overview of system identification. It outlines the basic concepts in the area and also serves as an umbrella contribution for the related nine articles on system identifications in this encyclopedia. The basis is the classical statistical approach of parametric methods using maximum likelihood and prediction error methods. The paper also describes the properties of the estimated models for large data sets.

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Author information

Authors and Affiliations

  1. Division of Automatic Control, Department of Electrical Engineering, Linköping University, SE-581 83, Linköping, Sweden

    Lennart Ljung

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  1. Lennart Ljung
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Correspondence to Lennart Ljung .

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Editors and Affiliations

  1. Electrical and Computer Engineering, Boston University, Boston, Massachusetts, USA

    John Baillieul

  2. Automation and Control Solutions, Honeywell, Golden Valley, Minnesota, USA

    Tariq Samad

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© 2014 Springer-Verlag London

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Ljung, L. (2014). System Identification: An Overview. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_100-1

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  • DOI: https://doi.org/10.1007/978-1-4471-5102-9_100-1

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  • Publisher Name: Springer, London

  • Online ISBN: 978-1-4471-5102-9

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Chapter history

  1. Latest

    System Identification: An Overview
    Published:
    09 October 2019

    DOI: https://doi.org/10.1007/978-1-4471-5102-9_100-2

  2. Original

    System Identification: An Overview
    Published:
    02 April 2014

    DOI: https://doi.org/10.1007/978-1-4471-5102-9_100-1