Coordinated Path Following of UAVs over Time-Varying Digraphs Connected in an Integral Sense
Hyungsoo Kang, Isaac Kaminer, Venanzio Cichella, Naira Hovakimyan

TL;DR
This paper introduces a new connectivity condition for UAVs with time-varying directed communication networks, ensuring coordinated path following through decentralized control under a more general connectivity assumption.
Contribution
It proposes a novel integral connectivity condition for directed graphs, extending the theoretical framework for UAV coordination with time-varying communication topologies.
Findings
Decentralized controller achieves exponential convergence.
Connectivity condition is more general than existing assumptions.
Simulation confirms effectiveness of the proposed method.
Abstract
This paper presents a new connectivity condition on the information flow between UAVs to achieve coordinated path following. The information flow is directional, so that the underlying communication network topology is represented by a time-varying digraph. We assume that this digraph is connected in an integral sense. This is a much more general assumption than the one currently used in the literature. Under this assumption, it is shown that a decentralized coordination controller ensures exponential convergence of the coordination error vector to a neighborhood of zero. The efficacy of the algorithm is confirmed with simulation results.
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Taxonomy
TopicsDistributed Control Multi-Agent Systems · Cooperative Communication and Network Coding · Opportunistic and Delay-Tolerant Networks
