DocumentCode
3264124
Title
Comparison of Riemann and Lebesgue sampling for first order stochastic systems
Author
Åström, K.J. ; Bernhardsson, B.M.
Author_Institution
Dept. of Mech. & Environ. Eng., California Univ., Santa Barbara, CA, USA
Volume
2
fYear
2002
fDate
10-13 Dec. 2002
Firstpage
2011
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.
Keywords
feedback; signal sampling; stochastic systems; Lebesgue sampling; Riemann sampling; digital control; first order stochastic systems; Biological control systems; Closed loop systems; Control systems; Digital control; Extraterrestrial measurements; Feedback; Mathematics; Sampling methods; Signal sampling; Stochastic systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2002, Proceedings of the 41st IEEE Conference on
ISSN
0191-2216
Print_ISBN
0-7803-7516-5
Type
conf
DOI
10.1109/CDC.2002.1184824
Filename
1184824
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