Use-Cases for Uncertainty Propagation in Distributed Control Systems

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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.

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
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

Fingerprint

Uncertainty Propagation
Distributed Control System
Distributed parameter control systems
Use Case
Software
Data Quality
Numerics
Uncertainty
Sensor
Target
Sensors
Context
Cyber Physical System

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

Cite this

Krisper, M., Iber, J., & Dobaj, J. (2018). Use-Cases for Uncertainty Propagation in Distributed Control Systems. In Systems, Software and Services Process Improvement - 25th European Conference, EuroSPI 2018, Proceedings (pp. 368-379). (Communications in Computer and Information Science; Vol. 896). Springer Verlag Heidelberg. DOI: 10.1007/978-3-319-97925-0_30

Use-Cases for Uncertainty Propagation in Distributed Control Systems. / Krisper, Michael; Iber, Johannes; Dobaj, Jürgen.

Systems, Software and Services Process Improvement - 25th European Conference, EuroSPI 2018, Proceedings. Springer Verlag Heidelberg, 2018. p. 368-379 (Communications in Computer and Information Science; Vol. 896).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Krisper, M, Iber, J & Dobaj, J 2018, Use-Cases for Uncertainty Propagation in Distributed Control Systems. in Systems, Software and Services Process Improvement - 25th European Conference, EuroSPI 2018, Proceedings. Communications in Computer and Information Science, vol. 896, Springer Verlag Heidelberg, pp. 368-379, 25th European Conference on Systems, Software and Services Process Improvement, EuroSPI 2018, Bilbao, Spain, 5/09/18. DOI: 10.1007/978-3-319-97925-0_30
Krisper M, Iber J, Dobaj J. Use-Cases for Uncertainty Propagation in Distributed Control Systems. In Systems, Software and Services Process Improvement - 25th European Conference, EuroSPI 2018, Proceedings. Springer Verlag Heidelberg. 2018. p. 368-379. (Communications in Computer and Information Science). Available from, DOI: 10.1007/978-3-319-97925-0_30
Krisper, Michael ; Iber, Johannes ; Dobaj, Jürgen. / Use-Cases for Uncertainty Propagation in Distributed Control Systems. Systems, Software and Services Process Improvement - 25th European Conference, EuroSPI 2018, Proceedings. Springer Verlag Heidelberg, 2018. pp. 368-379 (Communications in Computer and Information Science).
@inproceedings{d6aef96da61b4c6ea645e516bf7a9973,
title = "Use-Cases for Uncertainty Propagation in Distributed Control Systems",
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.",
keywords = "Approximate computing, Error propagation, Measurement, Predictive maintenance, Quality, Sensor-fusion, Tolerance, Uncertainty",
author = "Michael Krisper and Johannes Iber and J{\"u}rgen Dobaj",
year = "2018",
month = "8",
day = "9",
doi = "10.1007/978-3-319-97925-0_30",
language = "English",
isbn = "9783319979243",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag Heidelberg",
pages = "368--379",
booktitle = "Systems, Software and Services Process Improvement - 25th European Conference, EuroSPI 2018, Proceedings",

}

TY - GEN

T1 - Use-Cases for Uncertainty Propagation in Distributed Control Systems

AU - Krisper,Michael

AU - Iber,Johannes

AU - Dobaj,Jürgen

PY - 2018/8/9

Y1 - 2018/8/9

N2 - 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.

AB - 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.

KW - Approximate computing

KW - Error propagation

KW - Measurement

KW - Predictive maintenance

KW - Quality

KW - Sensor-fusion

KW - Tolerance

KW - Uncertainty

UR - http://www.scopus.com/inward/record.url?scp=85053155289&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-97925-0_30

DO - 10.1007/978-3-319-97925-0_30

M3 - Conference contribution

SN - 9783319979243

T3 - Communications in Computer and Information Science

SP - 368

EP - 379

BT - Systems, Software and Services Process Improvement - 25th European Conference, EuroSPI 2018, Proceedings

PB - Springer Verlag Heidelberg

ER -