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Comparison of Riemann and Lebesgue sampling for first order stochastic systems

Åström, K. J. LU and Bernhardsson, B. M. LU orcid (2002) 41st IEEE Conference on Decision and Control In Proceedings of the IEEE Conference on Decision and Control 2. p.2011-2016
Abstract

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.

Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Conference on Decision and Control
series title
Proceedings of the IEEE Conference on Decision and Control
volume
2
pages
6 pages
conference name
41st IEEE Conference on Decision and Control
conference location
Las Vegas, NV, United States
conference dates
2002-12-10 - 2002-12-13
external identifiers
  • scopus:0036990518
ISSN
0191-2216
language
English
LU publication?
yes
id
816e63c3-2672-4bef-90a5-b882b74d550b
date added to LUP
2021-01-08 16:14:01
date last changed
2022-04-26 23:19:05
@inproceedings{816e63c3-2672-4bef-90a5-b882b74d550b,
  abstract     = {{<p>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.</p>}},
  author       = {{Åström, K. J. and Bernhardsson, B. M.}},
  booktitle    = {{Conference on Decision and Control}},
  issn         = {{0191-2216}},
  language     = {{eng}},
  pages        = {{2011--2016}},
  series       = {{Proceedings of the IEEE Conference on Decision and Control}},
  title        = {{Comparison of Riemann and Lebesgue sampling for first order stochastic systems}},
  volume       = {{2}},
  year         = {{2002}},
}