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Modeling and validation of nonlinear feedback systems

  • Part I Identification For Robust Control
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Robustness in identification and control

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 245))

Abstract

Model validation provides a useful means of assessing the ability of a model to account for a specific experimental observation, and has application to modeling, identification and fault detection. Prior theoretical and application work in the area of model validation for robust control models focussed on linear fractional models. In this paper we discuss the extension of these methods to certain classes of nonlinear models. The Moore-Greitzer model of rotating stall is used as a simple example to illustrate the underlying ideas.

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References

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Author information

Authors and Affiliations

  1. Electrical & Computer Engineering Dept., University of California, 93106, Santa Barbara, DA, USA

    Roy Smith

  2. Mechanical & Industrial Eng. Dept., University of Illinois, 61801, Urbana, IL, USA

    Geir Dullerud

Authors
  1. Roy Smith
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  2. Geir Dullerud
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Editor information

A. Garulli (Assistant Professor)A. Tesi (Assistant Professor)

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© 1999 Springer-Verlag London Limited

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Smith, R., Dullerud, G. (1999). Modeling and validation of nonlinear feedback systems. In: Garulli, A., Tesi, A. (eds) Robustness in identification and control. Lecture Notes in Control and Information Sciences, vol 245. Springer, London. https://doi.org/10.1007/BFb0109862

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  • DOI: https://doi.org/10.1007/BFb0109862

  • Published:

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-179-5

  • Online ISBN: 978-1-84628-538-7

  • eBook Packages: Springer Book Archive

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