Linear formation control of multi-agent systems

Xiaozhen Zhang, Qingkai Yang*, Fan Xiao, Hao Fang, Jie Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

This paper proposes a new distributed leader–follower control architecture, termed linear formation control, to realize formation variations. The objective is to navigate a group of agents to reach a specific target formation, which is a linear transformation of the pre-defined nominal configuration, whose dimension can be higher than agents’ coordinates. The proposed architecture enables the formation to adjust through arbitrary linear transformations to accommodate the environment, offering a diverse range of feasible formations. First, we introduce the concept of “linear localizability” that leaders can uniquely determine the target formation. Then, using the pre-defined stress matrix, we propose a linear formation control method, which can be regarded as an extension of recent affine formation control approaches. Next, in the situation where the stress matrix is unavailable, distributed estimators are designed to obtain accurate linear formation parameters. We propose an estimation-driven linear formation control method using the graph Laplacian matrix. Finally, simulations are conducted to verify the effectiveness of the proposed linear formation control schemes.

Original languageEnglish
Article number111935
JournalAutomatica
Volume171
DOIs
Publication statusPublished - Jan 2025

Keywords

  • Affine formation control
  • Distributed estimation
  • Formation control
  • Linear transformation
  • Multi-agent systems

Fingerprint

Dive into the research topics of 'Linear formation control of multi-agent systems'. Together they form a unique fingerprint.

Cite this