Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Networked Estimation Using Sparsifying Basis Prediction
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-9940-5929
2013 (English)In: IFAC Proceedings Volumes, 2013, 174-181 p.Conference paper, Published paper (Refereed)
Abstract [en]

We present a framework for networked state estimation, where systems encode their (possibly high dimensional) state vectors using a mutually agreed basis between the system and the estimator (in a remote monitoring unit). The basis sparsifies the state vectors, i.e., it represents them using vectors with few non-zero components, and as a result, the systems might need to transmit only a fraction of the original information to be able to recover the non-zero components of the transformed state vector. Hence, the estimator can recover the state vector of the system from an under-determined linear set of equations. We use a greedy search algorithm to calculate the sparsifying basis. Then, we present an upper bound for the estimation error. Finally, we demonstrate the results on a numerical example.

Place, publisher, year, edition, pages
2013. 174-181 p.
Series
IFAC Proceedings Volumes (IFAC-PapersOnline), ISSN 1474-6670 ; Vol. 4, Issue PART 1
Keyword [en]
Networked Estimation, System state estimation, State monitoring, Sparsifying basis, Uncertain linear systems
National Category
Control Engineering Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-138591DOI: 10.3182/20130925-2-DE-4044.00050Scopus ID: 2-s2.0-84886608411ISBN: 978-390282355-7 (print)OAI: oai:DiVA.org:kth-138591DiVA: diva2:681484
Conference
4th IFAC Workshop on Distributed Estimation and Control in Networked Systems, NecSys 2013; Koblenz, Germany, 25-26 September 2013
Note

QC 20140116

Available from: 2013-12-20 Created: 2013-12-20 Last updated: 2014-01-23Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Authority records BETA

Johansson, Karl Henrik

Search in DiVA

By author/editor
Farokhi, FarhadShirazinia, AmirpashaJohansson, Karl Henrik
By organisation
Automatic ControlACCESS Linnaeus CentreCommunication Theory
Control EngineeringCommunication Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 40 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf