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
Sensor Selection with Correlated Noise
KTH, School of Electrical Engineering (EES), Automatic Control.
2010 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

We consider the problem of selecting k sensors out of m available (linear) sensors, so that the error in estimating some parameters is minimized. When the sensor noises are uncorrelated, the sensor selection problem can be (approximately) solved by a method recently suggested by Joshi and Boyd, which relies on a convex relaxation of the underlying combinatorial optimization problem. This thesis describes a non-trivial extension of the relaxation method to the case when the measurement noises are correlated, as occurs, for example, in a sensor scheduling problem in a dynamic system. We develop several new semidenite programming (SDP) relaxations for the problem, which give provable bounds on the attainable performance, as well as suboptimal sensor selections. Numerical experiments for sensor scheduling suggest that the methods work well.

Place, publisher, year, edition, pages
2010. , 18 p.
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-105136OAI: oai:DiVA.org:kth-105136DiVA: diva2:570091
Subject / course
Automatic Control
Educational program
Master of Science in Engineering - Electrical Engineering
Uppsok
Technology
Examiners
Available from: 2012-12-03 Created: 2012-11-16 Last updated: 2012-12-03Bibliographically approved

Open Access in DiVA

fulltext(175 kB)192 downloads
File information
File name FULLTEXT01.pdfFile size 175 kBChecksum SHA-512
0a319d4c6f796c86edd236f22720f6b6b4178ba8f8c314b38e9df8b84e067a36a21db57407d19a3332c2520929fb00ef7cbbb760edbb4d2ce6bf3a1c21a7f6e2
Type fulltextMimetype application/pdf

By organisation
Automatic Control
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 192 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 121 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