Cooperative Constrained Enclosing Control of Multirobot Systems in Obstacle Environments

Ke Lu, Shi Lu Dai, Xu Jin

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

This article develops a novel cooperative constrained control framework to solve the moving-target enclosing problem for multirobot systems, where safe navigation and formation precision are concerned in obstacle environments. When moving obstacles block the encircling motion, the enclosing formation contracts toward the target with a precise spacing pattern. Without a priori knowledge of environmental information, the mobile robot group can track and enclose a moving target while guaranteeing limited sensing requirements and collision avoidance with the target, neighboring robots, and obstacles. Under the precision constraint, with an encircling speed assigned to only one robot, the mobile robots are driven by their neighbors until all robots enclose the target as a whole. With the help of velocity observers, the robot group can converge to a small neighborhood of the desired enclosing formation without knowing the target's velocity. Simulation results demonstrate the effectiveness of the proposed constrained control strategy.

Original languageEnglish
Pages (from-to)718-730
Number of pages13
JournalIEEE Transactions on Control of Network Systems
Volume11
Issue number2
DOIs
StatePublished - Jun 1 2024

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

  • Barrier function
  • collision avoidance
  • limited sensing
  • obstacle avoidance
  • target enclosing

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications
  • Control and Optimization

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