Robust Moving Target Enclosing Control of Multi‐Agent Systems

ABSTRACT This article addresses the robust moving target enclosing control problem in multi‐agent systems. Unlike previous studies, our approach handles an uncertain moving target whose trajectory is governed by an exosystem with unknown system dynamics and output functions. Specifically, we develop an adaptive internal‐model‐based observer to asymptotically estimate the target's velocity. Subsequently, we introduce a novel dynamic distributed control protocol that integrates prescribed performance control and sliding mode control techniques. We demonstrate that under this control scheme, the multi‐agent system achieves asymptotic tracking of the target and converges to the desired formation pattern with desired circling radii and separation angles. Finally, a numerical simulation is conducted to demonstrate the effectiveness of the proposed approach.

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Institutions

Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2025-04-12
DOI
https://doi.org/10.1002/rnc.7973
Citations
1
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
1.49

Funders

Controls
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article

Robust Moving Target Enclosing Control of Multi‐Agent Systems

Boyin Zheng, Lu Liu
1 citations
International Journal of Robust and Nonlinear Control
Distributed Control Multi-Agent Systems
1.49
article

Robust Moving Target Enclosing Control of Multi‐Agent Systems

Boyin Zheng, Lu Liu
article en
1 citations

Abstract

ABSTRACT This article addresses the robust moving target enclosing control problem in multi‐agent systems. Unlike previous studies, our approach handles an uncertain moving target whose trajectory is governed by an exosystem with unknown system dynamics and output functions. Specifically, we develop an adaptive internal‐model‐based observer to asymptotically estimate the target's velocity. Subsequently, we introduce a novel dynamic distributed control protocol that integrates prescribed performance control and sliding mode control techniques. We demonstrate that under this control scheme, the multi‐agent system achieves asymptotic tracking of the target and converges to the desired formation pattern with desired circling radii and separation angles. Finally, a numerical simulation is conducted to demonstrate the effectiveness of the proposed approach.

International Journal of Robust and Nonlinear ControlVol. 35(12)
City University of Hong Kong (HK)
City University of Hong Kong, National Natural Science Foundation of China
Openalex Percentile: Top 18%
Distributed Control Multi-Agent Systems
1.49
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