Angle-Constrained Formation Control under Directed Non-Triangulated Sensing Graphs (Extended Version)
Kun Li, Zhixi Shen, Gangshan Jing, and Yongduan Song

TL;DR
This paper introduces a novel angle-constrained formation control method for directed, non-triangulated sensing graphs, achieving global stability and shape convergence without requiring inter-agent communication.
Contribution
It extends angle-constrained formation control to directed, non-triangulated graphs using a leader-first follower architecture, ensuring stability and shape control without communication.
Findings
Ensures global exponential stability of the formation.
Convergence rate depends on specific internal angles.
Validated through simulations and real robotic experiments.
Abstract
Angle-constrained formation control has attracted much attention from control community due to the advantage that inter-edge angles are invariant under uniform translations, rotations, and scalings of the whole formation. However, almost all the existing angle-constrained formation control methods are limited to undirected triangulated sensing graphs. In this paper, we propose an angle-constrained formation control approach under a Leader-First Follower sensing architecture, where the sensing graph is directed and non-triangulated. Both shape stabilization and maneuver control are achieved under arbitrary initial configurations of the formation. During the formation process, the control input of each agent is based on relative positions from its neighbors measured in the local reference frame and wireless communications among agents are not required. We show that the proposed…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDistributed Control Multi-Agent Systems · Underwater Vehicles and Communication Systems · Opportunistic and Delay-Tolerant Networks
