Event-Triggered Distributed Optimization Algorithm over Directed Networks: A Nonsingular Estimator Approach

Chengxin Xian; Qianle Tao; Yongfang Liu; Huimin Wang; Yu Zhao

doi:10.1109/CDC49753.2023.10383689

Event-Triggered Distributed Optimization Algorithm over Directed Networks: A Nonsingular Estimator Approach

Chengxin Xian, Qianle Tao, Yongfang Liu, Huimin Wang, Yu Zhao

School of Automation

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

Abstract

This paper investigates the event-triggered distributed optimization problems (ETDOPs) over strongly connected directed networks. By assigning an additional scalar state variable to each agent and utilizing diminishing time-varying gain/step-size, a class of modified event-triggered distributed optimization algorithms (ETDOAs) is proposed, which can address the ETDOPs well and can avoid the inverse operation of some estimators in the existing literature. Compared with the existing DOAs, this paper gives a new idea to solve the DOPs under weighted-unbalanced digraphs and continuous communication of agent networks is avoided. Finally, numerical simulations are given to illustrate the effectiveness of the proposed ETDOAs.

Original language	English
Title of host publication	2023 62nd IEEE Conference on Decision and Control, CDC 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3884-3889
Number of pages	6
ISBN (Electronic)	9798350301243
DOIs	https://doi.org/10.1109/CDC49753.2023.10383689
State	Published - 2023
Event	62nd IEEE Conference on Decision and Control, CDC 2023 - Singapore, Singapore Duration: 13 Dec 2023 → 15 Dec 2023

Publication series

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

Conference

Conference	62nd IEEE Conference on Decision and Control, CDC 2023
Country/Territory	Singapore
City	Singapore
Period	13/12/23 → 15/12/23

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10.1109/CDC49753.2023.10383689

Cite this

Xian, C., Tao, Q., Liu, Y., Wang, H., & Zhao, Y. (2023). Event-Triggered Distributed Optimization Algorithm over Directed Networks: A Nonsingular Estimator Approach. In 2023 62nd IEEE Conference on Decision and Control, CDC 2023 (pp. 3884-3889). (Proceedings of the IEEE Conference on Decision and Control). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC49753.2023.10383689

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title = "Event-Triggered Distributed Optimization Algorithm over Directed Networks: A Nonsingular Estimator Approach",

abstract = "This paper investigates the event-triggered distributed optimization problems (ETDOPs) over strongly connected directed networks. By assigning an additional scalar state variable to each agent and utilizing diminishing time-varying gain/step-size, a class of modified event-triggered distributed optimization algorithms (ETDOAs) is proposed, which can address the ETDOPs well and can avoid the inverse operation of some estimators in the existing literature. Compared with the existing DOAs, this paper gives a new idea to solve the DOPs under weighted-unbalanced digraphs and continuous communication of agent networks is avoided. Finally, numerical simulations are given to illustrate the effectiveness of the proposed ETDOAs.",

author = "Chengxin Xian and Qianle Tao and Yongfang Liu and Huimin Wang and Yu Zhao",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 62nd IEEE Conference on Decision and Control, CDC 2023 ; Conference date: 13-12-2023 Through 15-12-2023",

year = "2023",

doi = "10.1109/CDC49753.2023.10383689",

language = "英语",

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

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

pages = "3884--3889",

booktitle = "2023 62nd IEEE Conference on Decision and Control, CDC 2023",

}

Xian, C, Tao, Q, Liu, Y, Wang, H & Zhao, Y 2023, Event-Triggered Distributed Optimization Algorithm over Directed Networks: A Nonsingular Estimator Approach. in 2023 62nd IEEE Conference on Decision and Control, CDC 2023. Proceedings of the IEEE Conference on Decision and Control, Institute of Electrical and Electronics Engineers Inc., pp. 3884-3889, 62nd IEEE Conference on Decision and Control, CDC 2023, Singapore, Singapore, 13/12/23. https://doi.org/10.1109/CDC49753.2023.10383689

Event-Triggered Distributed Optimization Algorithm over Directed Networks: A Nonsingular Estimator Approach. / Xian, Chengxin; Tao, Qianle; Liu, Yongfang et al.
2023 62nd IEEE Conference on Decision and Control, CDC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 3884-3889 (Proceedings of the IEEE Conference on Decision and Control).

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

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N2 - This paper investigates the event-triggered distributed optimization problems (ETDOPs) over strongly connected directed networks. By assigning an additional scalar state variable to each agent and utilizing diminishing time-varying gain/step-size, a class of modified event-triggered distributed optimization algorithms (ETDOAs) is proposed, which can address the ETDOPs well and can avoid the inverse operation of some estimators in the existing literature. Compared with the existing DOAs, this paper gives a new idea to solve the DOPs under weighted-unbalanced digraphs and continuous communication of agent networks is avoided. Finally, numerical simulations are given to illustrate the effectiveness of the proposed ETDOAs.

AB - This paper investigates the event-triggered distributed optimization problems (ETDOPs) over strongly connected directed networks. By assigning an additional scalar state variable to each agent and utilizing diminishing time-varying gain/step-size, a class of modified event-triggered distributed optimization algorithms (ETDOAs) is proposed, which can address the ETDOPs well and can avoid the inverse operation of some estimators in the existing literature. Compared with the existing DOAs, this paper gives a new idea to solve the DOPs under weighted-unbalanced digraphs and continuous communication of agent networks is avoided. Finally, numerical simulations are given to illustrate the effectiveness of the proposed ETDOAs.

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Xian C, Tao Q, Liu Y, Wang H, Zhao Y. Event-Triggered Distributed Optimization Algorithm over Directed Networks: A Nonsingular Estimator Approach. In 2023 62nd IEEE Conference on Decision and Control, CDC 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 3884-3889. (Proceedings of the IEEE Conference on Decision and Control). doi: 10.1109/CDC49753.2023.10383689

Event-Triggered Distributed Optimization Algorithm over Directed Networks: A Nonsingular Estimator Approach

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