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Sub-Optimal Sensor Scheduling with Error Bounds

Alriksson, Peter LU and Rantzer, Anders LU (2005) In Proceedings of the 16th IFAC World Congress
Abstract
In this paper the problem of sub-optimal sensor schedulingwith a guaranteed distance to optimality is considered. Optimal in thesense that the sequence that minimizes the estimation error covariancematrix for a given time horizon is found. The search is done usingrelaxed dynamic programming. The algorithm is then applied to onesimple second order system and one sixth order model of a fixedmounted model lab helicopter.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Sequences, Sensor fusion, Estimation, Hybrid Modes, Dynamic Programming
in
Proceedings of the 16th IFAC World Congress
editor
Piztek, Pavel
publisher
Elsevier
external identifiers
  • Scopus:79960703946
ISBN
0-08-045108-X
language
English
LU publication?
yes
id
b99b0473-3170-4073-ac3f-efc19f8f01a3 (old id 535704)
date added to LUP
2007-09-12 10:48:06
date last changed
2017-01-01 08:00:28
@inproceedings{b99b0473-3170-4073-ac3f-efc19f8f01a3,
  abstract     = {In this paper the problem of sub-optimal sensor schedulingwith a guaranteed distance to optimality is considered. Optimal in thesense that the sequence that minimizes the estimation error covariancematrix for a given time horizon is found. The search is done usingrelaxed dynamic programming. The algorithm is then applied to onesimple second order system and one sixth order model of a fixedmounted model lab helicopter.},
  author       = {Alriksson, Peter and Rantzer, Anders},
  booktitle    = {Proceedings of the 16th IFAC World Congress},
  editor       = {Piztek, Pavel},
  isbn         = {0-08-045108-X},
  keyword      = {Sequences,Sensor fusion,Estimation,Hybrid Modes,Dynamic Programming},
  language     = {eng},
  publisher    = {Elsevier},
  title        = {Sub-Optimal Sensor Scheduling with Error Bounds},
  year         = {2005},
}