Fixed-time extended state observer-based formation tracking control of USVs via impulsive-based hierarchical approach

This study explores the challenge of formation control for unmanned surface vehicles (USVs) with dynamic uncertainties and external disturbances. A hierarchical fixed-time control (HFTC) framework is designed to solve the estimation problem and the formation tracking problem for USVs. The HFTC framework consists of estimators based on the impulsive control, which help the USVs in the network obtain states of leader accurately, and local controllers with fixed-time extended state observer (FTESO), which drive the USVs achieve predefined configuration in fixed time. Through systematic analysis, sufficient conditions are given for guaranteeing the stability and convergence of the studied closed-loop system. Ultimately, this paper presents simulation results to validate the effectiveness of the implemented control scheme.

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Publication Details

Journal
Transactions of the Institute of Measurement and Control
Published
2025-11-20
DOI
https://doi.org/10.1177/01423312251385622
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

Fixed-time extended state observer-based formation tracking control of USVs via impulsive-based hierarchical approach

Tao Han, Bo Xiao, Xiaoyu Zhang, Xisheng Zhan
Transactions of the Institute of Measurement and Control
Distributed Control Multi-Agent Systems
article

Fixed-time extended state observer-based formation tracking control of USVs via impulsive-based hierarchical approach

Tao Han, Bo Xiao, Xiaoyu Zhang, Xisheng Zhan
article en

Abstract

This study explores the challenge of formation control for unmanned surface vehicles (USVs) with dynamic uncertainties and external disturbances. A hierarchical fixed-time control (HFTC) framework is designed to solve the estimation problem and the formation tracking problem for USVs. The HFTC framework consists of estimators based on the impulsive control, which help the USVs in the network obtain states of leader accurately, and local controllers with fixed-time extended state observer (FTESO), which drive the USVs achieve predefined configuration in fixed time. Through systematic analysis, sufficient conditions are given for guaranteeing the stability and convergence of the studied closed-loop system. Ultimately, this paper presents simulation results to validate the effectiveness of the implemented control scheme.

Transactions of the Institute of Measurement and Control
Hubei Normal University (CN)
Openalex Percentile: Top 59%
Distributed Control Multi-Agent Systems
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