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On Prize Mechanisms in Linear Quadratic Team Theory

Rantzer, Anders LU (2007) 46th IEEE Conference on Decision and Control, 2007 p.3586-3590
Abstract
A distributed linear quadratic decision problem is considered, where several different controllers act as a team, but with access to different measurements. Previous contributions have shown how to state the optimal synthesis as a finite-dimensional convex optimization problem.



This paper shows that the dynamic behavior can be optimized by a distributed iterative procedure, without any need for a globally available model or

centralized coordination. An illustrative model with three agents is considered.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to conference
publication status
published
subject
pages
3586 - 3590
conference name
46th IEEE Conference on Decision and Control, 2007
external identifiers
  • WOS:000255181701288
  • Scopus:62749148285
language
English
LU publication?
yes
id
83012002-842c-4bbd-86a4-35f59d1a77c3 (old id 954416)
date added to LUP
2008-01-25 09:24:30
date last changed
2016-10-13 04:55:45
@misc{83012002-842c-4bbd-86a4-35f59d1a77c3,
  abstract     = {A distributed linear quadratic decision problem is considered, where several different controllers act as a team, but with access to different measurements. Previous contributions have shown how to state the optimal synthesis as a finite-dimensional convex optimization problem.<br/><br>
<br/><br>
This paper shows that the dynamic behavior can be optimized by a distributed iterative procedure, without any need for a globally available model or<br/><br>
centralized coordination. An illustrative model with three agents is considered.},
  author       = {Rantzer, Anders},
  language     = {eng},
  pages        = {3586--3590},
  title        = {On Prize Mechanisms in Linear Quadratic Team Theory},
  year         = {2007},
}