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Sampled-Data Models for Linear Deterministic Systems

  • Juan I. Yuz
  • Graham C. Goodwin
Part of the Communications and Control Engineering book series (CCE)

Abstract

This chapter considers the main topic of interest in this book, namely: how to obtain a sampled-data model for a given continuous-time system. Sampled models for linear systems with deterministic inputs are first considered, for which exact sampled-data model can be obtained. Unless stated explicitly otherwise, it is assumed that the anti-aliasing filter, if present, is included as part of the continuous-time system model.

Keywords

Relative Degree Hold Device Zero Order Hold Denominator Polynomial Deterministic Input 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Further Reading

Further background on linear sampled-data models can be found in

  1. Åström KJ, Wittenmark B (1997) Computer controlled systems. Theory and design, 3rd edn. Prentice Hall, Englewood Cliffs Google Scholar
  2. Feuer A, Goodwin GC (1996) Sampling in digital signal processing and control. Birkhäuser, Boston Google Scholar
  3. Franklin GF, Powell JD, Workman ML (1997) Digital control of dynamic systems, 3rd. edn. Addison-Wesley, Reading Google Scholar
  4. Middleton RH, Goodwin GC (1990) Digital control and estimation. A unified approach. Prentice Hall, Englewood Cliffs Google Scholar

Copyright information

© Springer-Verlag London 2014

Authors and Affiliations

  • Juan I. Yuz
    • 1
  • Graham C. Goodwin
    • 2
  1. 1.Departamento de ElectrónicaUniversidad Técnica Federico Santa MaríaValparaísoChile
  2. 2.School of Electrical Engineering & Computer ScienceUniversity of NewcastleCallaghanAustralia

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