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Nonlinear System Identification: An Overview of Common Approaches

Encyclopedia of Systems and Control

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Abstract

Nonlinear mathematical models are essential tools in various engineering and scientific domains, where more and more data are recorded by electronic devices. How to build nonlinear mathematical models essentially based on experimental data is the topic of this entry. Due to the large extent of the topic, this entry provides only a rough overview of some well-known results, from gray-box to black-box system identification.

Introduction

The wide success of linear system identification in various applications (Ljung 1999), “System Identification – An Overview” Lennart Ljung does not necessarily mean that the underlying dynamic systems are intrinsically linear. Quite often, linear system identification can be successfully applied to a nonlinear system if its working range is restricted to a neighborhood of some working point. Nevertheless, some advanced engineering systems may exhibit significant nonlinear behaviors under their normal working conditions, so do most biological or...

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Authors and Affiliations

  1. Inria, Campus de Beaulieu,, Rennes Cedex, France

    Qinghua Zhang

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  1. Qinghua Zhang
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Correspondence to Qinghua Zhang .

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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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Zhang, Q. (2014). Nonlinear System Identification: An Overview of Common Approaches. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_104-1

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  • DOI: https://doi.org/10.1007/978-1-4471-5102-9_104-1

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  • Online ISBN: 978-1-4471-5102-9

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Chapter history

  1. Latest

    Nonlinear System Identification: An Overview of Common Approaches
    Published:
    26 September 2019

    DOI: https://doi.org/10.1007/978-1-4471-5102-9_104-2

  2. Original

    Nonlinear System Identification: An Overview of Common Approaches
    Published:
    29 March 2014

    DOI: https://doi.org/10.1007/978-1-4471-5102-9_104-1

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