Directional Bounded-Confidence Matrix Alignment in Vicsek Flocking
Directional Bounded-Confidence Matrix Alignment in Vicsek Flocking
This research proposes a directional bounded-confidence variant of the discrete-time Vicsek multiagent model.
The paper introduces a theoretical framework for multi-agent flocking that uses matrix-weighted dynamics to selectively filter alignment signals while maintaining global stability, with numerical results comparing the proposed method against standard averaging and scalar confidence baselines.
Source: arXiv Robotics — research abstracts · Read original article ↗
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Source：arXiv Robotics — research abstracts · arxiv.org