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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 and
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},
}