Fully Distributed Formation Control of Autonomous Surface Vessels via Non-Cooperative Game Approach

This paper considers the fully distributed formation control problem of autonomous surface vessels (ASVs) with multiple conflicting tasks using a non-cooperative game approach. In the present problem, each ASV is assigned a global formation task while simultaneously having an individual task to approach a specified target with a local desired displacement. Due to the conflicting relationship between the individual task and the global task, this paper proposes the construction of a local cost function for each ASV. This formulation aims to transform the formation control problem, considering task conflicts, into a non-cooperative game problem. To achieve a balance between the global task and the individual task, a formation control law based on non-cooperative game theory is proposed. The control law aims to enable the ASVs to distributively search for the Nash equilibrium of the non-cooperative game. Specifically, the proposed formation control law is fully distributed, with control gains being designed to be adaptive. Theoretical analysis demonstrates that the designed controllers can drive all ASVs' states to converge to the Nash equilibrium without relying on any global information, even in the context of external disturbances. Finally, numerical simulations are performed to verify the validity of the theoretical results.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Emerging Topics in Computational Intelligence
Published
2025-05-22
DOI
https://doi.org/10.1109/tetci.2025.3567597
Citations
2
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
2.97

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fully Distributed Formation Control of Autonomous Surface Vessels via Non-Cooperative Game Approach

Guanghui Wen, Xiao Fang, Tingwen Huang, Jianxiang Ren
2 citations
IEEE Transactions on Emerging Topics in Computational Intelligence
Distributed Control Multi-Agent Systems
2.97
article

Fully Distributed Formation Control of Autonomous Surface Vessels via Non-Cooperative Game Approach

Guanghui Wen, Xiao Fang, Tingwen Huang, Jianxiang Ren
article en
2 citations

Abstract

This paper considers the fully distributed formation control problem of autonomous surface vessels (ASVs) with multiple conflicting tasks using a non-cooperative game approach. In the present problem, each ASV is assigned a global formation task while simultaneously having an individual task to approach a specified target with a local desired displacement. Due to the conflicting relationship between the individual task and the global task, this paper proposes the construction of a local cost function for each ASV. This formulation aims to transform the formation control problem, considering task conflicts, into a non-cooperative game problem. To achieve a balance between the global task and the individual task, a formation control law based on non-cooperative game theory is proposed. The control law aims to enable the ASVs to distributively search for the Nash equilibrium of the non-cooperative game. Specifically, the proposed formation control law is fully distributed, with control gains being designed to be adaptive. Theoretical analysis demonstrates that the designed controllers can drive all ASVs' states to converge to the Nash equilibrium without relying on any global information, even in the context of external disturbances. Finally, numerical simulations are performed to verify the validity of the theoretical results.

IEEE Transactions on Emerging Topics in Computational IntelligenceVol. 10(1)
Shenzhen University (CN), Shenzhen Technology University (CN), Southeast University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 9%
Distributed Control Multi-Agent Systems
2.97
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Fully Distributed Formation Control of Autonomous Surface Vessels via Non-Cooperative Game Approach — Guanghui Wen, Xiao Fang, et al. · IEEE Transactions on Emerging Topics in Computational Intelligence (2025) | TGRS Research Map | TGRS