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 paperpeer-review


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
Number of pages12
ISBN (Print)9783319979243
Publication statusPublished - 9 Aug 2018
Event25th European Conference on System, Software and Service Process Improvement & Innovation: EuroSPI 2018 - Tecnalia Research & Innovation, Bilbao , Spain
Duration: 5 Sept 20187 Sept 2018
Conference number: 25

Publication series

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


Conference25th European Conference on System, Software and Service Process Improvement & Innovation
Abbreviated titleEuroSPI
Internet address


  • 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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