On Infinite-horizon System Level Synthesis Problems
Kjellqvist, Olle LU
and Yu, Jing
(2022)
61st IEEE Conference on Decision and Control, CDC 2022
In Proceedings of the IEEE Conference on Decision and Control
2022-December.
p.5238-5244
- Abstract
System level synthesis is a promising approach that formulates structured optimal controller synthesis problems as convex problems. This work solves the distributed linear-quadratic regulator problem under communication constraints directly in infinite-dimensional space, without the finite-impulse response relaxation common in related work. Our method can also be used to construct optimal distributed Kalman filters with limited information exchange. We combine the distributed Kalman filter with state-feedback control to perform localized LQG control with communication constraints. We provide agent-level implementation details for the resulting output-feedback state-space controller.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/be094d8f-b626-412f-a286-2997a0c52212
- author
- Kjellqvist, Olle
LU
and Yu, Jing
- organization
- publishing date
- 2022
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2022 IEEE 61st Conference on Decision and Control, CDC 2022
- series title
- Proceedings of the IEEE Conference on Decision and Control
- volume
- 2022-December
- pages
- 7 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 61st IEEE Conference on Decision and Control, CDC 2022
- conference location
- Cancun, Mexico
- conference dates
- 2022-12-06 - 2022-12-09
- external identifiers
-
- scopus:85146985121
- ISSN
- 2576-2370
- 0743-1546
- ISBN
- 9781665467612
- DOI
- 10.1109/CDC51059.2022.9992443
- language
- English
- LU publication?
- yes
- id
- be094d8f-b626-412f-a286-2997a0c52212
- date added to LUP
- 2023-02-14 14:46:02
- date last changed
- 2024-04-04 16:31:50
@inproceedings{be094d8f-b626-412f-a286-2997a0c52212,
abstract = {{<p>System level synthesis is a promising approach that formulates structured optimal controller synthesis problems as convex problems. This work solves the distributed linear-quadratic regulator problem under communication constraints directly in infinite-dimensional space, without the finite-impulse response relaxation common in related work. Our method can also be used to construct optimal distributed Kalman filters with limited information exchange. We combine the distributed Kalman filter with state-feedback control to perform localized LQG control with communication constraints. We provide agent-level implementation details for the resulting output-feedback state-space controller.</p>}},
author = {{Kjellqvist, Olle and Yu, Jing}},
booktitle = {{2022 IEEE 61st Conference on Decision and Control, CDC 2022}},
isbn = {{9781665467612}},
issn = {{2576-2370}},
language = {{eng}},
pages = {{5238--5244}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{Proceedings of the IEEE Conference on Decision and Control}},
title = {{On Infinite-horizon System Level Synthesis Problems}},
url = {{http://dx.doi.org/10.1109/CDC51059.2022.9992443}},
doi = {{10.1109/CDC51059.2022.9992443}},
volume = {{2022-December}},
year = {{2022}},
}