Use-Cases for Uncertainty Propagation in Distributed Control Systems

Michael Krisper*, Johannes Iber, Jürgen Dobaj

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes how data quality can be used to gain trust between components in distributed control systems by adding information about quality to data values. Especially numeric uncertainty is a helpful tool for making highly informed decisions. To illustrate the benefits and challenges, several use-cases are discussed in the context of industrial and automotive settings. The target audience are architects and developers of cyber-physical systems in industrial and automotive domains, researchers in such domains and software developers who are writing software for embedded or distributed control systems which also use uncertain sensor measurements.

Original languageEnglish
Title of host publicationSystems, Software and Services Process Improvement - 25th European Conference, EuroSPI 2018, Proceedings
PublisherSpringer Verlag Heidelberg
Pages368-379
Number of pages12
ISBN (Print)9783319979243
DOIs
Publication statusPublished - 9 Aug 2018
Event25th European Conference on Systems, Software and Services Process Improvement, EuroSPI 2018 - Bilbao, Spain
Duration: 5 Sep 20187 Sep 2018

Publication series

NameCommunications in Computer and Information Science
Volume896
ISSN (Print)1865-0929

Conference

Conference25th European Conference on Systems, Software and Services Process Improvement, EuroSPI 2018
CountrySpain
CityBilbao
Period5/09/187/09/18

Keywords

  • Approximate computing
  • Error propagation
  • Measurement
  • Predictive maintenance
  • Quality
  • Sensor-fusion
  • Tolerance
  • Uncertainty

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

Fields of Expertise

  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Application

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