Time Cooperative Guidance Law With the Maximum Consensus Algorithm of Time-To-G

Zhi Lin; Zhexin Shi; Jianglong Yu; Hong Jiang; Xiwang Dong; Zhang Ren

doi:10.1109/ICCA65672.2025.11129760

Time Cooperative Guidance Law With the Maximum Consensus Algorithm of Time-To-G

Zhi Lin
, Zhexin Shi
, Jianglong Yu^*
, Hong Jiang
, Xiwang Dong
, Zhang Ren

^*Corresponding author for this work

Beihang University

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

Abstract

This paper studies the problem of time cooperative guidance of multiple aircrafts against a stationary target. First, the maximum consensus algorithm of the time-to-go is introduced to calculate the time consensus error. Then, the consensus error is introduced into the navigation gain by feedback to make the gain time-varying, and a cooperative guidance law is developed to ensure the simultaneous strike against the stationary target. In addition, Lyapunov-based stability analysis rigorously proves the convergence properties of the proposed cooperative guidance law. Finally, the effectiveness and the practicality of the algorithm is verified through the simulation and practical experiment.

Original language	English
Title of host publication	2025 IEEE 19th International Conference on Control and Automation, ICCA 2025
Publisher	IEEE Computer Society
Pages	718-723
Number of pages	6
ISBN (Electronic)	9798331595593
DOIs	https://doi.org/10.1109/ICCA65672.2025.11129760
State	Published - 2025
Event	19th IEEE International Conference on Control and Automation, ICCA 2025 - Tallinn, Estonia Duration: 30 Jun 2025 → 3 Jul 2025

Publication series

Name	IEEE International Conference on Control and Automation, ICCA
ISSN (Print)	1948-3449
ISSN (Electronic)	1948-3457

Conference

Conference	19th IEEE International Conference on Control and Automation, ICCA 2025
Country/Territory	Estonia
City	Tallinn
Period	30/06/25 → 3/07/25

Access to Document

10.1109/ICCA65672.2025.11129760

Cite this

Lin, Z., Shi, Z., Yu, J., Jiang, H., Dong, X., & Ren, Z. (2025). Time Cooperative Guidance Law With the Maximum Consensus Algorithm of Time-To-G. In 2025 IEEE 19th International Conference on Control and Automation, ICCA 2025 (pp. 718-723). (IEEE International Conference on Control and Automation, ICCA). IEEE Computer Society. https://doi.org/10.1109/ICCA65672.2025.11129760

@inproceedings{da2c223a84574118a2a9085f3b726454,

title = "Time Cooperative Guidance Law With the Maximum Consensus Algorithm of Time-To-G",

abstract = "This paper studies the problem of time cooperative guidance of multiple aircrafts against a stationary target. First, the maximum consensus algorithm of the time-to-go is introduced to calculate the time consensus error. Then, the consensus error is introduced into the navigation gain by feedback to make the gain time-varying, and a cooperative guidance law is developed to ensure the simultaneous strike against the stationary target. In addition, Lyapunov-based stability analysis rigorously proves the convergence properties of the proposed cooperative guidance law. Finally, the effectiveness and the practicality of the algorithm is verified through the simulation and practical experiment.",

author = "Zhi Lin and Zhexin Shi and Jianglong Yu and Hong Jiang and Xiwang Dong and Zhang Ren",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 19th IEEE International Conference on Control and Automation, ICCA 2025 ; Conference date: 30-06-2025 Through 03-07-2025",

year = "2025",

doi = "10.1109/ICCA65672.2025.11129760",

language = "英语",

series = "IEEE International Conference on Control and Automation, ICCA",

publisher = "IEEE Computer Society",

pages = "718--723",

booktitle = "2025 IEEE 19th International Conference on Control and Automation, ICCA 2025",

address = "美国",

}

Lin, Z, Shi, Z, Yu, J , Jiang, H , Dong, X & Ren, Z 2025, Time Cooperative Guidance Law With the Maximum Consensus Algorithm of Time-To-G. in 2025 IEEE 19th International Conference on Control and Automation, ICCA 2025. IEEE International Conference on Control and Automation, ICCA, IEEE Computer Society, pp. 718-723, 19th IEEE International Conference on Control and Automation, ICCA 2025, Tallinn, Estonia, 30/06/25. https://doi.org/10.1109/ICCA65672.2025.11129760

Time Cooperative Guidance Law With the Maximum Consensus Algorithm of Time-To-G. / Lin, Zhi; Shi, Zhexin; Yu, Jianglong et al.
2025 IEEE 19th International Conference on Control and Automation, ICCA 2025. IEEE Computer Society, 2025. p. 718-723 (IEEE International Conference on Control and Automation, ICCA).

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

TY - GEN

T1 - Time Cooperative Guidance Law With the Maximum Consensus Algorithm of Time-To-G

AU - Lin, Zhi

AU - Shi, Zhexin

AU - Yu, Jianglong

AU - Jiang, Hong

AU - Dong, Xiwang

AU - Ren, Zhang

PY - 2025

Y1 - 2025

N2 - This paper studies the problem of time cooperative guidance of multiple aircrafts against a stationary target. First, the maximum consensus algorithm of the time-to-go is introduced to calculate the time consensus error. Then, the consensus error is introduced into the navigation gain by feedback to make the gain time-varying, and a cooperative guidance law is developed to ensure the simultaneous strike against the stationary target. In addition, Lyapunov-based stability analysis rigorously proves the convergence properties of the proposed cooperative guidance law. Finally, the effectiveness and the practicality of the algorithm is verified through the simulation and practical experiment.

AB - This paper studies the problem of time cooperative guidance of multiple aircrafts against a stationary target. First, the maximum consensus algorithm of the time-to-go is introduced to calculate the time consensus error. Then, the consensus error is introduced into the navigation gain by feedback to make the gain time-varying, and a cooperative guidance law is developed to ensure the simultaneous strike against the stationary target. In addition, Lyapunov-based stability analysis rigorously proves the convergence properties of the proposed cooperative guidance law. Finally, the effectiveness and the practicality of the algorithm is verified through the simulation and practical experiment.

UR - https://www.scopus.com/pages/publications/105016257760

U2 - 10.1109/ICCA65672.2025.11129760

DO - 10.1109/ICCA65672.2025.11129760

M3 - 会议稿件

AN - SCOPUS:105016257760

T3 - IEEE International Conference on Control and Automation, ICCA

SP - 718

EP - 723

BT - 2025 IEEE 19th International Conference on Control and Automation, ICCA 2025

PB - IEEE Computer Society

T2 - 19th IEEE International Conference on Control and Automation, ICCA 2025

Y2 - 30 June 2025 through 3 July 2025

ER -

Time Cooperative Guidance Law With the Maximum Consensus Algorithm of Time-To-G

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this