Distributed Optimization of Continuous-time Multi-agent Systems over Directed Graph

Ziqin Chen; Ji Ma; Xinghu Wang; Haibo Ji

doi:10.1109/ICCA.2018.8444336

Distributed Optimization of Continuous-time Multi-agent Systems over Directed Graph

Ziqin Chen
, Ji Ma
, Xinghu Wang
, Haibo Ji

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

5 Citations (Scopus)

Abstract

This paper investigates the continuous-time distributed optimization of a sum of cost functions over directed graphs. Compared with the existing works on distributed optimization, the communication graph is not needed to be balanced. Beside, the gradient of each local cost function is only required to be continuous, whose requirement is relaxed. Finally, a simulation example is given to illustrate the effectiveness of the proposed protocol.

Original language	English
Title of host publication	2018 IEEE 14th International Conference on Control and Automation (ICCA)
Publisher	IEEE
Pages	722-727
ISBN (Electronic)	978-1-5386-6089-8
DOIs	https://doi.org/10.1109/ICCA.2018.8444336
Publication status	Published - Jun 2018
Event	14th IEEE International Conference on Control and Automation, ICCA 2018 - Anchorage, United States Duration: 12 Jun 2018 → 15 Jun 2018

Conference

Conference	14th IEEE International Conference on Control and Automation, ICCA 2018
Place	United States
City	Anchorage
Period	12/06/18 → 15/06/18

Access Output

10.1109/ICCA.2018.8444336

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@inproceedings{4fb9e11ddb2a42c7a1217f5823dade22,

title = "Distributed Optimization of Continuous-time Multi-agent Systems over Directed Graph",

abstract = "This paper investigates the continuous-time distributed optimization of a sum of cost functions over directed graphs. Compared with the existing works on distributed optimization, the communication graph is not needed to be balanced. Beside, the gradient of each local cost function is only required to be continuous, whose requirement is relaxed. Finally, a simulation example is given to illustrate the effectiveness of the proposed protocol.",

author = "Ziqin Chen and Ji Ma and Xinghu Wang and Haibo Ji",

year = "2018",

month = jun,

doi = "10.1109/ICCA.2018.8444336",

language = "English",

pages = "722--727",

booktitle = "2018 IEEE 14th International Conference on Control and Automation (ICCA)",

publisher = "IEEE",

address = "United States",

note = "14th IEEE International Conference on Control and Automation, ICCA 2018 ; Conference date: 12-06-2018 Through 15-06-2018",

}

Chen, Z, Ma, J, Wang, X & Ji, H 2018, Distributed Optimization of Continuous-time Multi-agent Systems over Directed Graph. in 2018 IEEE 14th International Conference on Control and Automation (ICCA)., 8444336, IEEE, pp. 722-727, 14th IEEE International Conference on Control and Automation, ICCA 2018, Anchorage, Alaska, United States, 12/06/18. https://doi.org/10.1109/ICCA.2018.8444336

Distributed Optimization of Continuous-time Multi-agent Systems over Directed Graph. / Chen, Ziqin; Ma, Ji; Wang, Xinghu et al.
2018 IEEE 14th International Conference on Control and Automation (ICCA). IEEE, 2018. p. 722-727 8444336.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Distributed Optimization of Continuous-time Multi-agent Systems over Directed Graph

AU - Chen, Ziqin

AU - Ma, Ji

AU - Wang, Xinghu

AU - Ji, Haibo

PY - 2018/6

Y1 - 2018/6

N2 - This paper investigates the continuous-time distributed optimization of a sum of cost functions over directed graphs. Compared with the existing works on distributed optimization, the communication graph is not needed to be balanced. Beside, the gradient of each local cost function is only required to be continuous, whose requirement is relaxed. Finally, a simulation example is given to illustrate the effectiveness of the proposed protocol.

AB - This paper investigates the continuous-time distributed optimization of a sum of cost functions over directed graphs. Compared with the existing works on distributed optimization, the communication graph is not needed to be balanced. Beside, the gradient of each local cost function is only required to be continuous, whose requirement is relaxed. Finally, a simulation example is given to illustrate the effectiveness of the proposed protocol.

UR - https://www.scopus.com/pages/publications/85053162632

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85053162632&origin=recordpage

U2 - 10.1109/ICCA.2018.8444336

DO - 10.1109/ICCA.2018.8444336

M3 - RGC 32 - Refereed conference paper (with host publication)

SP - 722

EP - 727

BT - 2018 IEEE 14th International Conference on Control and Automation (ICCA)

PB - IEEE

T2 - 14th IEEE International Conference on Control and Automation, ICCA 2018

Y2 - 12 June 2018 through 15 June 2018

ER -

Distributed Optimization of Continuous-time Multi-agent Systems over Directed Graph

Abstract

Conference

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this