Team‐Based Coverage Control in Corridor‐Type Regions With Heterogeneous Multi‐Agent Systems

ABSTRACT This paper presents a team‐based coverage strategy for deploying heterogeneous agents in corridor‐type regions. Initially, the corridor‐type region is divided into team‐level coverage areas using a Voronoi diagram, which is further subdivided among team members using a power diagram. The coverage region, characterized by dynamic boundaries, moves within the mission area. A gradient descent‐based control law is designed for each agent, which incorporates the dynamic boundary caused by the movement of the leading agents and the size change of power cells. The proposed control laws ensure that the agents converge to a locally optimal coverage configuration, with a balanced workload distribution. Additionally, a team‐based formation control approach is introduced to enhance deployment flexibility. Simulations validate the effectiveness of the proposed coverage strategy.

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Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2025-09-02
DOI
https://doi.org/10.1002/rnc.70173
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Team‐Based Coverage Control in Corridor‐Type Regions With Heterogeneous Multi‐Agent Systems

Kun‐Yi Yang, Haoguang Yang, Xiaoli Wang, Wei Xie
International Journal of Robust and Nonlinear Control
Distributed Control Multi-Agent Systems
article

Team‐Based Coverage Control in Corridor‐Type Regions With Heterogeneous Multi‐Agent Systems

Kun‐Yi Yang, Haoguang Yang, Xiaoli Wang, Wei Xie
article en

Abstract

ABSTRACT This paper presents a team‐based coverage strategy for deploying heterogeneous agents in corridor‐type regions. Initially, the corridor‐type region is divided into team‐level coverage areas using a Voronoi diagram, which is further subdivided among team members using a power diagram. The coverage region, characterized by dynamic boundaries, moves within the mission area. A gradient descent‐based control law is designed for each agent, which incorporates the dynamic boundary caused by the movement of the leading agents and the size change of power cells. The proposed control laws ensure that the agents converge to a locally optimal coverage configuration, with a balanced workload distribution. Additionally, a team‐based formation control approach is introduced to enhance deployment flexibility. Simulations validate the effectiveness of the proposed coverage strategy.

International Journal of Robust and Nonlinear ControlVol. 36(3)
Tiangong University (CN), Harbin Institute of Technology (CN), Weihai Science and Technology Bureau (CN)
Natural Science Foundation of Shandong Province, National Key Research and Development Program of China
Openalex Percentile: Top 74%
Distributed Control Multi-Agent Systems
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