Use-Cases for Uncertainty Propagation in Distributed Control Systems

Michael Krisper; Johannes Iber; Jürgen Dobaj

doi:10.1007/978-3-319-97925-0_30

Use-Cases for Uncertainty Propagation in Distributed Control Systems

Michael Krisper^*, Johannes Iber, Jürgen Dobaj

^*Corresponding author for this work

Institute of Technical Informatics (4480)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-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.

Original language	English
Title of host publication	Systems, Software and Services Process Improvement - 25th European Conference, EuroSPI 2018, Proceedings
Publisher	Springer Verlag Heidelberg
Pages	368-379
Number of pages	12
ISBN (Print)	9783319979243
DOIs	https://doi.org/10.1007/978-3-319-97925-0_30
Publication status	Published - 9 Aug 2018
Event	25th European Conference on System, Software and Service Process Improvement & Innovation: EuroSPI 2018 - Tecnalia Research & Innovation, Bilbao , Spain Duration: 5 Sept 2018 → 7 Sept 2018 Conference number: 25 http://2018.eurospi.net/

Publication series

Name	Communications in Computer and Information Science
Volume	896
ISSN (Print)	1865-0929

Conference

Conference	25th European Conference on System, Software and Service Process Improvement & Innovation
Abbreviated title	EuroSPI
Country/Territory	Spain
City	Bilbao
Period	5/09/18 → 7/09/18
Internet address	http://2018.eurospi.net/

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

Access to Document

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

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. https://doi.org/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 proceeding › Conference paper › peer-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 System, Software and Service Process Improvement & Innovation, Bilbao , Spain, 5/09/18. https://doi.org/10.1007/978-3-319-97925-0_30

@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 = aug,

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",

note = "25th European Conference on System, Software and Service Process Improvement & Innovation : EuroSPI 2018, EuroSPI ; Conference date: 05-09-2018 Through 07-09-2018",

url = "http://2018.eurospi.net/",

}

TY - GEN

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

AU - Krisper, Michael

AU - Iber, Johannes

AU - Dobaj, Jürgen

N1 - Conference code: 25

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 paper

AN - SCOPUS:85053155289

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

T2 - 25th European Conference on System, Software and Service Process Improvement & Innovation

Y2 - 5 September 2018 through 7 September 2018

ER -

Use-Cases for Uncertainty Propagation in Distributed Control Systems

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Fields of Expertise

Treatment code (Nähere Zuordnung)

Access to Document

Other files and links

Fingerprint

Industrial Informatics

AH-HyUnify - control platform for hydro-electric power generation

25th European Conference on System, Software and Service Process Improvement & Innovation: EuroSPI 2018

Cite this

Use-Cases for Uncertainty Propagation in Distributed Control Systems

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Fields of Expertise

Treatment code (Nähere Zuordnung)

Access to Document

Other files and links

Fingerprint

Projects

Industrial Informatics

AH-HyUnify - control platform for hydro-electric power generation

Activities

25th European Conference on System, Software and Service Process Improvement & Innovation: EuroSPI 2018

Cite this