Angle-constrained adaptive formation control for multiple nonholonomic automated vehicles with deferred prescribed performance

This paper proposes an adaptive control scheme based on deferred prescribed performance control to address the angle-constrained formation control problem for multiple nonholonomic automated vehicles subject to model uncertainties and external disturbances. In contrast to conventional distance-based or bearing-based approaches, angle-based formation offers greater flexibility in geometric configuration and enhanced practicality. First, an angle-constraint matrix is constructed, and a shifting function is introduced to achieve deferred prescribed performance, which relaxes the stringent initial error constraints and enables a unified control framework for arbitrary initial states. An adaptive estimation strategy is then constructed to compensate for unknown dynamics caused by parameter uncertainties and external disturbances, ensuring the asymptotic convergence of each vehicle’s error; overall closed-loop stability is then verified via a Lyapunov function analysis. Finally, numerical simulations verify that the errors of all vehicles enter and remain within the predefined performance function bounds within the specified deferred time. The simulation results demonstrate that the proposed method achieves good convergence performance under various initial conditions. Compared with the traditional prescribed performance control method, it exhibits faster convergence and improved smoothness. The proposed method relies only on minimal neighbor interaction information, significantly reducing the perception link and computational burden. Moreover, it imposes no strict requirements on the initial states, making it more practical and deployment-friendly. These features make the method better suited to real-world scenarios and endow it with strong engineering application potential.

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Publication Details

Journal
Journal of Vibration and Control
Published
2025-10-22
DOI
https://doi.org/10.1177/10775463251389672
Citations
1
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
1.49
Controls
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article

Angle-constrained adaptive formation control for multiple nonholonomic automated vehicles with deferred prescribed performance

Sheng Lu, Jianting Fu, Jiufei Luo, Yankui Song et al.
1 citations
Journal of Vibration and Control
Distributed Control Multi-Agent Systems
1.49
article

Angle-constrained adaptive formation control for multiple nonholonomic automated vehicles with deferred prescribed performance

Sheng Lu, Jianting Fu, Jiufei Luo, Yankui Song, Haiqing Li, Yucheng Lei
article en
1 citations

Abstract

This paper proposes an adaptive control scheme based on deferred prescribed performance control to address the angle-constrained formation control problem for multiple nonholonomic automated vehicles subject to model uncertainties and external disturbances. In contrast to conventional distance-based or bearing-based approaches, angle-based formation offers greater flexibility in geometric configuration and enhanced practicality. First, an angle-constraint matrix is constructed, and a shifting function is introduced to achieve deferred prescribed performance, which relaxes the stringent initial error constraints and enables a unified control framework for arbitrary initial states. An adaptive estimation strategy is then constructed to compensate for unknown dynamics caused by parameter uncertainties and external disturbances, ensuring the asymptotic convergence of each vehicle’s error; overall closed-loop stability is then verified via a Lyapunov function analysis. Finally, numerical simulations verify that the errors of all vehicles enter and remain within the predefined performance function bounds within the specified deferred time. The simulation results demonstrate that the proposed method achieves good convergence performance under various initial conditions. Compared with the traditional prescribed performance control method, it exhibits faster convergence and improved smoothness. The proposed method relies only on minimal neighbor interaction information, significantly reducing the perception link and computational burden. Moreover, it imposes no strict requirements on the initial states, making it more practical and deployment-friendly. These features make the method better suited to real-world scenarios and endow it with strong engineering application potential.

Journal of Vibration and Control
Chongqing University of Posts and Telecommunications (CN), Chongqing Institute of Green and Intelligent Technology (CN)
Openalex Percentile: Top 12%
Distributed Control Multi-Agent Systems
1.49
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