Continuous-Time Identification Using LQG-Balanced Model Reduction
Johansson, Rolf LU
(2002)
In IFAC Proceedings Volumes
35(1).
p.127-132
- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/b1a703cb-bf12-43d5-9800-ec8cd84a2aa3
- author
- Johansson, Rolf
LU
- organization
- publishing date
- 2002
- type
- Contribution to journal
- publication status
- published
- subject
- in
- IFAC Proceedings Volumes
- volume
- 35
- issue
- 1
- pages
- 6 pages
- publisher
- Elsevier
- external identifiers
-
- scopus:84945572160
- DOI
- 10.3182/20020721-6-ES-1901.01007
- language
- English
- LU publication?
- yes
- id
- b1a703cb-bf12-43d5-9800-ec8cd84a2aa3
- date added to LUP
- 2022-06-21 10:57:38
- date last changed
- 2022-10-09 04:13:13
@article{b1a703cb-bf12-43d5-9800-ec8cd84a2aa3,
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}},
language = {{eng}},
number = {{1}},
pages = {{127--132}},
publisher = {{Elsevier}},
series = {{IFAC Proceedings Volumes}},
title = {{Continuous-Time Identification Using LQG-Balanced Model Reduction}},
url = {{http://dx.doi.org/10.3182/20020721-6-ES-1901.01007}},
doi = {{10.3182/20020721-6-ES-1901.01007}},
volume = {{35}},
year = {{2002}},
}