English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Predefined-time formation control of UAV swarm under spatiotemporal constraints

Sun, F., Su, J., Zhu, W., Guan, Z.-H., Kurths, J. (2026): Predefined-time formation control of UAV swarm under spatiotemporal constraints. - ISA Transactions, 170, 187-199.
https://doi.org/10.1016/j.isatra.2026.01.025

Item is

Files

show Files
hide Files
:
Sun_2026_1-s2.0-S0019057826000388-main.pdf (Publisher version), 7MB
 
File Permalink:
-
Name:
Sun_2026_1-s2.0-S0019057826000388-main.pdf
Description:
-
OA-Status:
Visibility:
Private
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Sun, Fenglan1, Author           
Su, Jiashuo2, Author
Zhu, Wei2, Author
Guan, Zhi-Hong2, Author
Kurths, Jürgen1, Author           
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: This paper investigates the formation problem of unmanned aerial vehicles under spatiotemporal coupling constraints. Firstly, unlike existing stability theories based on predefined-time, this paper designs a predefined-time formation controller based on time-based generator and sliding mode control technology, which mitigates the initial input saturation issue. Secondly, a collision prediction mechanism is designed based on the artificial potential field method, which avoids unnecessary obstacle avoidance behavior when unmanned aerial vehicles detect non threatening obstacles and reduces redundant resource consumption. Finally, simulation results are presented to indicate that the proposed scheme enables the unmanned aerial vehicles to achieve formation and reconstruct the formation within the predefined-time after obstacle avoidance.

Details

show
hide
Language(s): eng - English
 Dates: 2026-03-062026-03-06
 Publication Status: Finally published
 Pages: 13
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.isatra.2026.01.025
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: ISA Transactions
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 170 Sequence Number: - Start / End Page: 187 - 199 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1879-2022
Publisher: Elsevier