Work

Comparison of Riemann and Lebesgue sampling for first order stochastic systems

Year: 2003

Type: conference-paper

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.

Source: IEEE Conference on Decision and Control (CDC)

DOI: 10.1109/cdc.2002.1184824

Authors: K.J. Astrom, B.M. Bernhardsson

Institutions: University of California, Santa Barbara, Ericsson (Sweden)

Language: English

Topic: Advanced Control Systems Design

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W1685524015

FWCI: 15.04

Cites: 30

Cited by: 1,012

Related to: 8