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Nonlinear Sampled-Data Systems

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Encyclopedia of Systems and Control

Abstract

Sampled-data systems are control systems in which the feedback law is digitally implemented via a computer. They are prevalent nowadays due to the numerous advantages they offer compared to analog control. Nonlinear sampled-data systems arise in this context when either the plant model or the controller is nonlinear. While their linear counterpart is now a mature area, nonlinear sampled-data systems are much harder to deal with and, hence, much less understood. Their inherent complexity leads to a variety of methods for their modeling, analysis, and design. A summary of these methods is presented in this entry.

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Notes

  1. 1.

    ∗Email: dnesic@unimelb.edu.au

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Author information

Authors and Affiliations

  1. Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne, VIC, Australia

    Dragan Nesic

  2. Université de Lorraine, CRAN, UMR 7039, France

    Romain Postoyan

  3. CNRS, CRAN, UMR 7039, France

    Romain Postoyan

Authors
  1. Dragan Nesic
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  2. Romain Postoyan
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Corresponding author

Correspondence to Dragan Nesic .

Editor information

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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Nesic, D., Postoyan, R. (2014). Nonlinear Sampled-Data Systems. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_98-1

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  • DOI: https://doi.org/10.1007/978-1-4471-5102-9_98-1

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  • Online ISBN: 978-1-4471-5102-9

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