Comparison of Riemann and Lebesgue sampling for first order stochastic systems
(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:
https://lup.lub.lu.se/record/816e63c3-2672-4bef-90a5-b882b74d550b
- author
- Åström, K. J. LU and Bernhardsson, B. M. LU
- organization
- publishing date
- 2002
- 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}}, }