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Comparison of Riemann and Lebesque sampling for first order stochastic systems

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Author

Summary, in English

The normal approach to digital control is to sample periodically in time. Using an analog of integration theory we can call this Riemann sampling. Lebesgue sampling or event based sampling is an alternative to Riemann sampling. It means that signals are sampled only when measurements pass certain limits. In this paper it is shown that Lebesgue sampling gives better performance for some simple systems.

Publishing year

2002

Language

English

Pages

2011-2016

Publication/Series

Proceedings of the 41st IEEE Conference on Decision and Control, 2002

Volume

2

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Control Engineering

Keywords

  • digital control
  • Riemann sampling
  • Lebesgue sampling
  • stochastic systems
  • feedback
  • signal sampling

Status

Published

ISBN/ISSN/Other

  • ISSN: 0191-2216