Angle Rigidity-Based Communication-Free Adaptive Formation Control for Nonlinear Multiagent Systems With Prescribed Performance

  • Kun LI
  • , Yujuan WANG
  • , Gangshan JING
  • , Yongduan SONG*
  • , Lihua XIE
  • *Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

4 Citations (Scopus)

Abstract

Angle-constrained formation control has garnered significant attention owing to the advantage of interedge angles invariant under translation, rotation, and scaling. However, most existing approaches addressing this problem are applicable only to single- or double-integrator dynamics, which are often impractical in real-world scenarios. In this article, an angle rigidity-based adaptive formation control framework is introduced for nonlinear multiagent systems subject to mismatched uncertainties. The proposed control framework integrates a prescribed performance control approach with a recursive backstepping procedure, offering several key advantages: the capability to handle unmatched system uncertainties, the preservation of angle rigidity throughout the formation process, and the assurance that the triangulated formation shape is asymptotically achieved without risking collisions between neighboring agents. Furthermore, since the control input of each agent only requires local information related to its neighbors, which can be obtained locally from its own sensors, the proposed control method can be deployed in a communication-free environment. The effectiveness of the proposed control algorithms is validated by extensive numerical simulation.
Original languageEnglish
Pages (from-to)500-511
Number of pages12
JournalIEEE Transactions on Cybernetics
Volume55
Issue number2
Early online date22 Nov 2024
DOIs
Publication statusPublished - Feb 2025
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Funding

This work was supported in part by the National Key Research and Development Program of China under Grant 2022YFB4701400; in part by the Fundamental Research Funds for the Central Universities under Grant 2024CDJYXTD-007; in part by the National Natural Science Foundation of China under Grant 61933012, Grant 62250710167, Grant 62273064, Grant 61991400/61991403, Grant 62203073, and Grant W2411061; in part by the Chongqing Top-Notch Young Talents Project under Grant cstc2024ycjhbgzxm0085; and in part by the Natural Science Foundation of Chongqing under Grant CSTB2023NSCQ-LZX0026, Grant CSTB2022NSCQ-MSX0577, Grant cqu2022YFB4701400, and Grant cstc2019jscx-fxydX0092.

Keywords

  • Adaptive control
  • angle rigidity
  • collision avoidance
  • formation control
  • prescribed performance

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