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Research Article | Open Access

Cooperative pointing control of multi-agent systems with switching topologies via distributed error estimation

Cui-Li Jin1, Yuhai Yang2, Bing Tan3( ), Jinlong Yuan4( )
College of Marine Electrical Engineering, Dalian Maritime University, Dalian 116026, China
Dalian Kerun Intelligent Technology Co., Ltd, Dalian 116023, China
School of Mathematics and Statistics, Nanyang Normal University, Nanyang 473061, China
School of Science, Dalian Maritime University, Dalian 116026, China
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Abstract

This paper proposes a distributed relative-position-based cooperative pointing control scheme for stationary planar multi-agent systems toward a stationary target under switching topologies. First, the proposed scheme only requires the leaders' orientation angles and relative position measurements, without relying on the agents' states in a common global coordinate frame. Then, the cooperative control problem is decoupled into cooperative target localization and local pointing control. In the proposed scheme, the cooperative target localization problem is modeled as a distributed relative position estimation system, in which the system dynamics are determined by the switching topologies and the projection matrices induced by the leaders' orientation angles. Under minimal information conditions, sufficient conditions are established to ensure the convergence of the proposed scheme by developing a novel error estimator and multiple Lyapunov functions. As a result, the generated reference orientations converge to the desired ones, and the local pointing controllers track them asymptotically. Finally, numerical simulations validate the effectiveness of the proposed method.

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Electronic Research Archive
Pages 7222-7243

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Cite this article:
Jin C-L, Yang Y, Tan B, et al. Cooperative pointing control of multi-agent systems with switching topologies via distributed error estimation. Electronic Research Archive, 2026, 34(10): 7222-7243. https://doi.org/10.3934/era.2026312

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Received: 06 July 2026
Revised: 07 August 2026
Accepted: 10 August 2026
Published: 15 October 2026
©2026 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)