Use-Cases for Uncertainty Propagation in Distributed Control Systems

Michael Krisper*, Johannes Iber, Jürgen Dobaj

*Korrespondierende/r Autor/in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem Konferenzband

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.

Originalspracheenglisch
TitelSystems, Software and Services Process Improvement - 25th European Conference, EuroSPI 2018, Proceedings
Herausgeber (Verlag)Springer Verlag Heidelberg
Seiten368-379
Seitenumfang12
ISBN (Print)9783319979243
DOIs
PublikationsstatusVeröffentlicht - 9 Aug 2018
Veranstaltung25th European Conference on System, Software and Service Process Improvement & Innovation: EuroSPI 2018 - Tecnalia Research & Innovation, Bilbao , Spanien
Dauer: 5 Sep 20187 Sep 2018
Konferenznummer: 25
http://2018.eurospi.net/

Publikationsreihe

NameCommunications in Computer and Information Science
Band896
ISSN (Print)1865-0929

Konferenz

Konferenz25th European Conference on System, Software and Service Process Improvement & Innovation
KurztitelEuroSPI
LandSpanien
OrtBilbao
Zeitraum5/09/187/09/18
Internetadresse

ASJC Scopus subject areas

  • !!Computer Science(all)
  • !!Mathematics(all)

Fields of Expertise

  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Application

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