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Parametric Versus Nonparametric Approach to Wiener Systems Identification

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Block-oriented Nonlinear System Identification

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 404))

Abstract

The problem of nonlinear dynamic systems modelling by means of block-oriented models has been strongly elaborated for the last four decades, due to vast variety of applications. The concept of block-oriented models assumes that the real plant, as a whole, can be treated as a system of interconnected blocks, static nonlinearities (N) and linear dynamics (L), where the interaction signals cannot be measured.

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Author information

Authors and Affiliations

  1. Institute of Computer Engineering, Control and Robotics, Wroclaw University of Technology, Poland

    Grzegorz Mzyk

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  1. Grzegorz Mzyk
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Editors and Affiliations

  1. Laboratoire GREYC, Ensicaen, Campus Cote de Nacre, Boulevard du Marechal Juin, BP 5186, 14032, Caen Cedex, France

    Fouad Giri

  2. Seamans Center for the Engineering Arts and Sciences, The University of Iowa, 52242 1527, Iowa City, IA, USA

    Er-Wei Bai

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Mzyk, G. (2010). Parametric Versus Nonparametric Approach to Wiener Systems Identification. In: Giri, F., Bai, EW. (eds) Block-oriented Nonlinear System Identification. Lecture Notes in Control and Information Sciences, vol 404. Springer, London. https://doi.org/10.1007/978-1-84996-513-2_8

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  • DOI: https://doi.org/10.1007/978-1-84996-513-2_8

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84996-512-5

  • Online ISBN: 978-1-84996-513-2

  • eBook Packages: EngineeringEngineering (R0)

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