Stress-matrix-based formation scaling control

Qingkai Yang, Zhiyong Sun, Ming Cao, Hao Fang*, Jie Chen

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

14 Citations (Scopus)

Abstract

This paper investigates the formation scaling control problem for multi-agent systems by utilizing the stress matrix associated with a universally rigid framework. Compared with the existing results on formation scaling control, we consider a more challenging scenario where only one agent has the knowledge of the desired formation size. To cope with this constraint, we first propose a distributed estimator for the remaining agents to estimate the scaling parameter. Then by employing the outputs of the estimator, we design a new class of formation scaling control algorithms for universally rigid frameworks such that the overall formation converges to the prescribed shape with the desired scaling. Numerical simulations are carried out to validate the theoretical results. (C) 2018 Elsevier Ltd. All rights reserved.

Original languageEnglish
Pages (from-to)120-127
Number of pages8
JournalAutomatica
Volume101
DOIs
Publication statusPublished - Mar-2019

Keywords

  • Formation control
  • Stress matrix
  • Universal rigidity
  • Multi-agent systems
  • DISTRIBUTED FORMATION CONTROL
  • MULTIAGENT SYSTEMS
  • CONSENSUS PROBLEMS
  • NETWORKS
  • STABILIZATION

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