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Identification for control — What is there to learn?

  • Part C Modeling, Identification And Estimation
  • Conference paper
  • First Online:
Learning, control and hybrid systems

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 241))

Abstract

This paper reviews some issues in system identification that are relevant for building models to be used for control design. We discuss how to concentrate the fit to important frequency ranges, and how to determine which these are. Iterative and adaptive approaches are put into this framework, as well as model validation. Particular attention is paid to the presentation and visualization of the results of residual analysis.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Linköping University, S-581 83, Linköping, Sweden

    Lennart Ljung

Authors
  1. Lennart Ljung
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Editor information

Yutaka Yamamoto PhD Shinji Hara PhD

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© 1999 Springer-Verlag London Limited

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Ljung, L. (1999). Identification for control — What is there to learn?. In: Yamamoto, Y., Hara, S. (eds) Learning, control and hybrid systems. Lecture Notes in Control and Information Sciences, vol 241. Springer, London. https://doi.org/10.1007/BFb0109730

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  • DOI: https://doi.org/10.1007/BFb0109730

  • Published:

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-076-7

  • Online ISBN: 978-1-84628-533-2

  • eBook Packages: Springer Book Archive

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