On Infinite-horizon System Level Synthesis Problems

Olle Kjellqvist; Jing Yu

doi:10.1109/CDC51059.2022.9992443

On Infinite-horizon System Level Synthesis Problems

Olle Kjellqvist, Jing Yu

California Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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.

Original language	English
Title of host publication	2022 IEEE 61st Conference on Decision and Control, CDC 2022
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
Pages	5238-5244
Number of pages	7
ISBN (Electronic)	9781665467612
DOIs	https://doi.org/10.1109/CDC51059.2022.9992443
Publication status	Published - 2022
Event	61st IEEE Conference on Decision and Control, CDC 2022 - Cancun, Mexico Duration: 2022 Dec 6 → 2022 Dec 9

Publication series

Name	Proceedings of the IEEE Conference on Decision and Control
Volume	2022-December
ISSN (Print)	0743-1546
ISSN (Electronic)	2576-2370

Conference

Conference	61st IEEE Conference on Decision and Control, CDC 2022
Country/Territory	Mexico
City	Cancun
Period	2022/12/06 → 2022/12/09

Subject classification (UKÄ)

Control Engineering

Access to Document

10.1109/CDC51059.2022.9992443

1 Licentiate Thesis

On Control and Estimation of Large and Uncertain Systems
Kjellqvist, O., 2022 Dec 14, 132 p.
Research output: Thesis › Licentiate Thesis

Open Access
File

1 Participation in conference

61st IEEE Conference on Decision and Control, CDC 2022
Olle Kjellqvist (Role not specified)
2022 Dec 6 → 2022 Dec 9
Activity: Participating in or organising an event › Participation in conference

Cite this

@inproceedings{be094d8fb626412fa2862997a0c52212,

title = "On Infinite-horizon System Level Synthesis Problems",

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.",

author = "Olle Kjellqvist and Jing Yu",

year = "2022",

doi = "10.1109/CDC51059.2022.9992443",

language = "English",

series = "Proceedings of the IEEE Conference on Decision and Control",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

pages = "5238--5244",

booktitle = "2022 IEEE 61st Conference on Decision and Control, CDC 2022",

address = "United States",

note = "61st IEEE Conference on Decision and Control, CDC 2022 ; Conference date: 06-12-2022 Through 09-12-2022",

}

Kjellqvist, O & Yu, J 2022, On Infinite-horizon System Level Synthesis Problems. in 2022 IEEE 61st Conference on Decision and Control, CDC 2022. Proceedings of the IEEE Conference on Decision and Control, vol. 2022-December, IEEE - Institute of Electrical and Electronics Engineers Inc., pp. 5238-5244, 61st IEEE Conference on Decision and Control, CDC 2022, Cancun, Mexico, 2022/12/06. https://doi.org/10.1109/CDC51059.2022.9992443

On Infinite-horizon System Level Synthesis Problems. / Kjellqvist, Olle; Yu, Jing.
2022 IEEE 61st Conference on Decision and Control, CDC 2022. IEEE - Institute of Electrical and Electronics Engineers Inc., 2022. p. 5238-5244 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2022-December).

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - On Infinite-horizon System Level Synthesis Problems

AU - Kjellqvist, Olle

AU - Yu, Jing

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

U2 - 10.1109/CDC51059.2022.9992443

DO - 10.1109/CDC51059.2022.9992443

M3 - Paper in conference proceeding

AN - SCOPUS:85146985121

T3 - Proceedings of the IEEE Conference on Decision and Control

SP - 5238

EP - 5244

BT - 2022 IEEE 61st Conference on Decision and Control, CDC 2022

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - 61st IEEE Conference on Decision and Control, CDC 2022

Y2 - 6 December 2022 through 9 December 2022

ER -

On Infinite-horizon System Level Synthesis Problems

Abstract

Publication series

Conference

Subject classification (UKÄ)

Access to Document

Fingerprint

Research output

On Control and Estimation of Large and Uncertain Systems

Activities

61st IEEE Conference on Decision and Control, CDC 2022

Cite this