Presents a distributed data-driven zeroing control barrier function (3D-ZCBF) framework that derives explicit safety conditions from data to preserve communication network connectivity in leader-follower multi-agent systems.
Resilient leader-follower consensus to arbitrary reference values in time-varying graphs,
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A Distributed Framework for Data-Driven Safe Coordination in Leader-Follower Networks
Presents a distributed data-driven zeroing control barrier function (3D-ZCBF) framework that derives explicit safety conditions from data to preserve communication network connectivity in leader-follower multi-agent systems.