Range-Only Distributed Safety-Critical Formation Control Based on Contracting Bearing Estimators and Control Barrier Functions

Распределённое безопасное критическое управление формированием по дальномерным измерениям на основе сходящихся оценивателей направлений и барьерных функций управления
Jin Chen, Ming Li, Matteo Marcantoni, Bayu Jayawardhana, Yafei Wang
2025-07-22

bearing estimationcontrol barrier functionsdistributed multi-agent systemsobstacle avoidancerange-only formation control
This paper proposes a distributed multi-agent formation control framework, ensuring rigorous safety and solely relying on range-only measurements. To address the challenge of rigid formation control without bearing information, we introduce a bearing estimator with respect to a single landmark. This estimator enables integration with conventional distance-based formation controllers while preserving distributed deployments. To ensure collision-free trajectories in cluttered environments, we develop a safety-critical control law that includes the estimated bearings with control barrier functions (CBFs), formally guaranteeing obstacle avoidance. We rigorously prove the convergence of the bearing estimator, the asymptotic stability of the desired formation shape and the continuity of safety control inputs. The effectiveness of the proposed approach is demonstrated through simulations with multiple agents and obstacles, as well as experimental validation using quadcopters in a cluttered lab environment. A video showcasing the study and experimental results is available at https://www.youtube.com/watch?v=iV0pNrtZbxM.
1
A contracting bearing estimator referenced to a single landmark enables integration with conventional distance-based formation controllers while preserving distributed operation.
2
A control law combining estimated bearings with control barrier functions formally guarantees collision-free obstacle avoidance in cluttered environments.
3
A distributed multi-agent formation-control framework achieves safety using only range measurements, without requiring bearing sensors.
4
Simulations with multiple agents and obstacles, together with quadcopter experiments in a cluttered laboratory, validate the proposed approach.
5
Theoretical analysis proves convergence of the bearing estimator, asymptotic stability of the desired formation shape, and continuity of safety-control inputs.

Multi-agent formations operating in cluttered environments using range-only measurements

Distributed safety-critical formation control, including bearing estimation, convergence to the desired formation shape, collision avoidance, and continuity of control inputs

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Publication Date
2025-07-22
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Authors
Jin Chen
Ming Li
Matteo Marcantoni
Bayu Jayawardhana
Yafei Wang
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