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Faryar Jabbari

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Articles

Distributed Optimization of Finite Condition Number for Laplacian Matrix in Multi-Agent Systems

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By Yicheng Xu, Aerospace Engineering, Faryar Jabbari
| Wiley Online Library Verified
Y.Xu and F.Jabbari, “Distributed Optimization of Finite Condition Number for Laplacian Matrix in Multi-Agent Systems,” International Journal of Robust and Nonlinear Control (2026): 1–14, https://doi.org/10.1002/rnc.70479. 1 Introduction The study of multi-agent systems (MAS) has drawn significant attention in recent years due to their wide-ranging applications in areas such as distributed control, sensor networks, and robotics [1-3].
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[2508.11795] Matrix Control Barrier Functions

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By Yicheng Xu, Ryan Bena, Aaron Ames, Faryar Jabbari
| arXiv
arXiv:2508.11795 (eess) View PDF HTML (experimental) Comments: Subjects: Systems and Control (eess.SY); Optimization and Control (math.OC) Cite as: arXiv:2508.11795 [eess.SY] (or arXiv:2508.11795v1 [eess.SY] for this version) https://doi.org/10.48550/arXiv.2508.11795 Submission history From: Pio Ong [ view email] [v1] Fri, 15 Aug 2025 20:33:36 UTC (3,062 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Connected Papers Toggle Connected Papers (What is Connected...
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