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Range-Only Distributed Safety-Critical Formation Control Based on Contracting Bearing Estimators and Control Barrier Functions
Shanghai Jiao Tong Univ, Inst Intelligent Vehicle, Sch Mech Engn, Shanghai 200240, Peoples R China.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).
Univ Groningen, Bernoulli Inst, Fac Sci & Engn, NL-9700 AK Groningen, Netherlands.
Univ Groningen, Engn & Technol Inst Groningen, Fac Sci & Engn, NL-9700 AK Groningen, Netherlands.
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2025 (English)In: IEEE Internet of Things Journal, ISSN 2327-4662, Vol. 12, no 19, p. 40968-40979Article in journal (Refereed) Published
Abstract [en]

This article proposes a distributed multiagent 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.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2025. Vol. 12, no 19, p. 40968-40979
Keywords [en]
Formation control, Vectors, Safety, Shape, Collision avoidance, Convergence, Sensors, Odometry, Asymptotic stability, Rigidity, control barrier functions (CBFs), cooperative UAVs, safety-critical control
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-374568DOI: 10.1109/JIOT.2025.3590774ISI: 001579082500039Scopus ID: 2-s2.0-105012300444OAI: oai:DiVA.org:kth-374568DiVA, id: diva2:2023234
Note

QC 20251218

Available from: 2025-12-18 Created: 2025-12-18 Last updated: 2025-12-18Bibliographically approved

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