R
Randal W. Beard
Researcher at Brigham Young University
Publications - 296
Citations - 31750
Randal W. Beard is an academic researcher from Brigham Young University. The author has contributed to research in topics: Trajectory & Nonlinear system. The author has an hindex of 57, co-authored 290 publications receiving 28807 citations. Previous affiliations of Randal W. Beard include Rensselaer Polytechnic Institute.
Papers
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Journal ArticleDOI
Consensus seeking in multiagent systems under dynamically changing interaction topologies
Wei Ren,Randal W. Beard +1 more
TL;DR: It is shown that information consensus under dynamically changing interaction topologies can be achieved asymptotically if the union of the directed interaction graphs have a spanning tree frequently enough as the system evolves.
Journal ArticleDOI
Information consensus in multivehicle cooperative control
TL;DR: Theoretical results regarding consensus-seeking under both time invariant and dynamically changing communication topologies are summarized in this paper, where several specific applications of consensus algorithms to multivehicle coordination are described.
BookDOI
Distributed Consensus in Multi-vehicle Cooperative Control
Wei Ren,Randal W. Beard +1 more
TL;DR: In this article, the authors present a survey of the use of consensus algorithms in multi-vehicle cooperative control, including single-and double-integrator dynamical systems, rigid-body attitude dynamics, rendezvous and axial alignment, formation control, deep-space formation flying, fire monitoring and surveillance.
Proceedings ArticleDOI
A survey of consensus problems in multi-agent coordination
TL;DR: A survey of consensus problems in multi-agent cooperative control with the goal of promoting research in this area is provided in this paper, where theoretical results regarding consensus seeking under both time-invariant and dynamically changing information exchange topologies are summarized.
Journal ArticleDOI
A coordination architecture for spacecraft formation control
TL;DR: A coordination architecture that subsumes leader-following, behavioral, and virtual-structure approaches to the multiagent coordination problem is introduced and illustrated through a detailed application of the ideas to the problem of synthesizing a multiple spacecraft interferometer in deep space.