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Team-Based Blanket Coverage Control for Heterogeneous Multi-agent Systems

  • School of Astronautics, Harbin Institute of Technology
  • School of Information Science and Engineering, Harbin Institute of Technology Weihai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a team-based blanket coverage strategy that allows for deploying a group of heterogeneous agents in river-like regions. The proposed team-based partition method aims at minimizing an accumulated sensing cost function. To this end, the coverage region is first partitioned into a blanket coverage area at the team level using the Voronoi diagram, and then the blanket area assigned to the team is partitioned among its members by the so-called Power diagram. The blanket coverage area, a region with dynamic boundaries, is driven to move within the mission region. In the process, a gradient descent-based control law is designed by introducing the dynamics of the boundaries into the controller. At the same time, the coverage areas assigned to agents can be adjusted online by an adaptation control law, where the performance variations among the agents are taken into account to change their weight factors. The proposed control laws guarantee the agents could converge to a locally optimal coverage configuration.

Original languageEnglish
Title of host publicationProceedings of the 39th Chinese Control Conference, CCC 2020
EditorsJun Fu, Jian Sun
PublisherIEEE Computer Society
Pages759-764
Number of pages6
ISBN (Electronic)9789881563903
DOIs
StatePublished - Jul 2020
Externally publishedYes
Event39th Chinese Control Conference, CCC 2020 - Shenyang, China
Duration: 27 Jul 202029 Jul 2020

Publication series

NameChinese Control Conference, CCC
Volume2020-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference39th Chinese Control Conference, CCC 2020
Country/TerritoryChina
CityShenyang
Period27/07/2029/07/20

Keywords

  • Blanket coverage
  • Coverage control
  • Heterogeneous agents
  • Multi-agent systems

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