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Adaptive Coverage Control for Dynamic Pattern Generation

  • Keerati Fungtammasan
  • , Yang Bai
  • , Mikhail Svinin
  • , Fumitoshi Matsuno
  • , Evgeni Magid
  • , Jackrit Suthakorn
  • Ritsumeikan University Biwako-Kusatsu Campus
  • Kyoto University
  • Kazan Federal University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

This paper studies an adaptive coverage control problem for a system of multiple car-like mobile robots. The Centroidal Voronoi Tessellation (CVT) is applied to generate an optimal coverage configuration of the multi-agent system for a dynamic region. A function approximation technique based immersion and invariance (FATII) controller is proposed to drive the system to the generated optimal configuration while ensuring the output constraint. The stability of the proposed FATII controller is established and its validity is tested under experiments.

Original languageEnglish
Title of host publicationASCC 2022 - 2022 13th Asian Control Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1404-1408
Number of pages5
ISBN (Electronic)9788993215236
DOIs
Publication statusPublished - 2022
Event13th Asian Control Conference, ASCC 2022 - Jeju, Korea, Republic of
Duration: 4 May 2022 → 7 May 2022

Publication series

NameASCC 2022 - 2022 13th Asian Control Conference, Proceedings

Conference

Conference13th Asian Control Conference, ASCC 2022
Country/TerritoryKorea, Republic of
CityJeju
Period4/05/22 → 7/05/22

Keywords

  • Coverage control
  • adaptive control

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