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Continuous-Time Identification using LQG-Balanced Model Reduction

Johansson, Rolf LU (2002) In Proceedings of the 15th IFAC world congress
Abstract
System identification of continuous-time model based on discrete-time data can be performed using a algorithm combining linear regression and LQG-balanced model reduction. The approach is applicable also to unstable system dynamics and it provides balanced models for optimal linear prediction and control.
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Proceedings of the 15th IFAC world congress
publisher
Elsevier
external identifiers
  • Scopus:84945572160
ISBN
0-08-044184X
language
English
LU publication?
yes
id
236987e6-24ed-4027-8f21-20518ab933ed (old id 537739)
date added to LUP
2007-09-20 16:26:41
date last changed
2016-10-13 04:44:19
@misc{236987e6-24ed-4027-8f21-20518ab933ed,
  abstract     = {System identification of continuous-time model based on discrete-time data can be performed using a algorithm combining linear regression and LQG-balanced model reduction. The approach is applicable also to unstable system dynamics and it provides balanced models for optimal linear prediction and control.},
  author       = {Johansson, Rolf},
  isbn         = {0-08-044184X},
  language     = {eng},
  publisher    = {ARRAY(0xb12cbd8)},
  series       = {Proceedings of the 15th IFAC world congress},
  title        = {Continuous-Time Identification using LQG-Balanced Model Reduction},
  year         = {2002},
}